From 31f7216d053467f57d0ce16f8b57126b40f5d11b Mon Sep 17 00:00:00 2001 From: ManvithaPonnapati Date: Sat, 26 Oct 2024 06:11:08 +0000 Subject: [PATCH] deploy: 4c78ba0f64b6f0de5676769b66ccaab0185c28cd --- .buildinfo | 4 + .github/renovate.json5 | 24 - .github/workflows/codeflash.yml | 53 - .github/workflows/docs.yml | 34 - .github/workflows/publish.yml | 44 - .github/workflows/tests.yml | 83 - .gitignore | 299 -- .mailmap | 5 - .../aviary/envs/gsm8k/py.typed => .nojekyll | 0 .pre-commit-config.yaml | 91 - .python-version | 1 - .secrets.allowlist | 2 - CONTRIBUTING.md | 21 - LICENSE | 201 -- README.md | 280 -- _modules/index.html | 99 + _modules/utils.html | 152 + docs/core.rst => _sources/core.rst.txt | 0 docs/env.rst => _sources/env.rst.txt | 0 .../env_client.rst.txt | 0 docs/index.rst => _sources/index.rst.txt | 0 docs/main.rst => _sources/main.rst.txt | 0 docs/message.rst => _sources/message.rst.txt | 0 docs/modules.rst => _sources/modules.rst.txt | 0 docs/render.rst => _sources/render.rst.txt | 0 docs/tools.rst => _sources/tools.rst.txt | 0 docs/utils.rst => _sources/utils.rst.txt | 0 _static/alabaster.css | 663 ++++ _static/basic.css | 914 ++++++ _static/custom.css | 1 + _static/doctools.js | 149 + _static/documentation_options.js | 13 + _static/file.png | Bin 0 -> 286 bytes _static/github-banner.svg | 5 + _static/language_data.js | 192 ++ _static/minus.png | Bin 0 -> 90 bytes _static/plus.png | Bin 0 -> 90 bytes _static/pygments.css | 84 + _static/searchtools.js | 632 ++++ _static/sphinx_highlight.js | 154 + core.html | 120 + docs/Makefile | 20 - docs/conf.py | 35 - docs/make.bat | 35 - env.html | 120 + env_client.html | 120 + genindex.html | 158 + index.html | 122 + main.html | 120 + message.html | 120 + modules.html | 143 + objects.inv | 6 + packages/gsm8k/README.md | 32 - packages/gsm8k/pyproject.toml | 33 - .../gsm8k/src/aviary/envs/gsm8k/__init__.py | 3 - packages/gsm8k/src/aviary/envs/gsm8k/env.py | 245 -- packages/gsm8k/tests/test_gsm8k_env.py | 59 - packages/hotpotqa/README.md | 21 - packages/hotpotqa/pyproject.toml | 31 - .../src/aviary/envs/hotpotqa/__init__.py | 3 - .../hotpotqa/src/aviary/envs/hotpotqa/env.py | 576 ---- .../src/aviary/envs/hotpotqa/py.typed | 0 packages/hotpotqa/tests/test_hotpotqa_env.py | 29 - py-modindex.html | 121 + pyproject.toml | 437 --- render.html | 120 + search.html | 121 + searchindex.js | 1 + src/aviary/core.py | 69 - src/aviary/env.py | 490 --- src/aviary/env_client.py | 58 - src/aviary/main.py | 47 - src/aviary/message.py | 168 - src/aviary/py.typed | 0 src/aviary/render.py | 130 - src/aviary/tools/__init__.py | 37 - src/aviary/tools/argref.py | 358 --- src/aviary/tools/base.py | 435 --- src/aviary/tools/server.py | 219 -- src/aviary/tools/utils.py | 221 -- src/aviary/utils.py | 43 - tests/.gitignore | 1 - tests/__init__.py | 13 - ...om_model_name[gpt-4o-mini-2024-07-18].yaml | 232 -- ...l_acompletion[gpt-4o-mini-2024-07-18].yaml | 120 - .../test_eval_answer[llm basic].yaml | 109 - tests/cassettes/test_eval_llm_config.yaml | 108 - tests/conftest.py | 29 - tests/test_envs.py | 402 --- tests/test_messages.py | 161 - tests/test_tools.py | 807 ----- tests/test_utils.py | 40 - tools.html | 138 + utils.html | 136 + uv.lock | 2717 ----------------- 95 files changed, 4728 insertions(+), 9711 deletions(-) create mode 100644 .buildinfo delete mode 100644 .github/renovate.json5 delete mode 100644 .github/workflows/codeflash.yml delete mode 100644 .github/workflows/docs.yml delete mode 100644 .github/workflows/publish.yml delete mode 100644 .github/workflows/tests.yml delete mode 100644 .gitignore delete mode 100644 .mailmap rename packages/gsm8k/src/aviary/envs/gsm8k/py.typed => .nojekyll (100%) delete mode 100644 .pre-commit-config.yaml delete mode 100644 .python-version delete mode 100644 .secrets.allowlist delete mode 100644 CONTRIBUTING.md delete mode 100644 LICENSE delete mode 100644 README.md create mode 100644 _modules/index.html create mode 100644 _modules/utils.html rename docs/core.rst => _sources/core.rst.txt (100%) rename docs/env.rst => _sources/env.rst.txt (100%) rename docs/env_client.rst => _sources/env_client.rst.txt (100%) rename docs/index.rst => _sources/index.rst.txt (100%) rename docs/main.rst => _sources/main.rst.txt (100%) rename docs/message.rst => _sources/message.rst.txt (100%) rename docs/modules.rst => _sources/modules.rst.txt (100%) rename docs/render.rst => _sources/render.rst.txt (100%) rename docs/tools.rst => _sources/tools.rst.txt (100%) rename docs/utils.rst => _sources/utils.rst.txt (100%) create mode 100644 _static/alabaster.css create mode 100644 _static/basic.css create mode 100644 _static/custom.css create mode 100644 _static/doctools.js create mode 100644 _static/documentation_options.js create mode 100644 _static/file.png create mode 100644 _static/github-banner.svg create mode 100644 _static/language_data.js create mode 100644 _static/minus.png create mode 100644 _static/plus.png create mode 100644 _static/pygments.css create mode 100644 _static/searchtools.js create mode 100644 _static/sphinx_highlight.js create mode 100644 core.html delete mode 100644 docs/Makefile delete mode 100644 docs/conf.py delete mode 100644 docs/make.bat create mode 100644 env.html create mode 100644 env_client.html create mode 100644 genindex.html create mode 100644 index.html create mode 100644 main.html create mode 100644 message.html create mode 100644 modules.html create mode 100644 objects.inv delete mode 100644 packages/gsm8k/README.md delete mode 100644 packages/gsm8k/pyproject.toml delete mode 100644 packages/gsm8k/src/aviary/envs/gsm8k/__init__.py delete mode 100644 packages/gsm8k/src/aviary/envs/gsm8k/env.py delete mode 100644 packages/gsm8k/tests/test_gsm8k_env.py delete mode 100644 packages/hotpotqa/README.md delete mode 100644 packages/hotpotqa/pyproject.toml delete mode 100644 packages/hotpotqa/src/aviary/envs/hotpotqa/__init__.py delete mode 100644 packages/hotpotqa/src/aviary/envs/hotpotqa/env.py delete mode 100644 packages/hotpotqa/src/aviary/envs/hotpotqa/py.typed delete mode 100644 packages/hotpotqa/tests/test_hotpotqa_env.py create mode 100644 py-modindex.html delete mode 100644 pyproject.toml create mode 100644 render.html create mode 100644 search.html create mode 100644 searchindex.js delete mode 100644 src/aviary/core.py delete mode 100644 src/aviary/env.py delete mode 100644 src/aviary/env_client.py delete mode 100644 src/aviary/main.py delete mode 100644 src/aviary/message.py delete mode 100644 src/aviary/py.typed delete mode 100644 src/aviary/render.py delete mode 100644 src/aviary/tools/__init__.py delete mode 100644 src/aviary/tools/argref.py delete mode 100644 src/aviary/tools/base.py delete mode 100644 src/aviary/tools/server.py delete mode 100644 src/aviary/tools/utils.py delete mode 100644 src/aviary/utils.py delete mode 100644 tests/.gitignore delete mode 100644 tests/__init__.py delete mode 100644 tests/cassettes/TestParallelism.test_tool_selector_from_model_name[gpt-4o-mini-2024-07-18].yaml delete mode 100644 tests/cassettes/TestParallelism.test_tool_selector_with_external_acompletion[gpt-4o-mini-2024-07-18].yaml delete mode 100644 tests/cassettes/test_eval_answer[llm basic].yaml delete mode 100644 tests/cassettes/test_eval_llm_config.yaml delete mode 100644 tests/conftest.py delete mode 100644 tests/test_envs.py delete mode 100644 tests/test_messages.py delete mode 100644 tests/test_tools.py delete mode 100644 tests/test_utils.py create mode 100644 tools.html create mode 100644 utils.html delete mode 100644 uv.lock diff --git a/.buildinfo b/.buildinfo new file mode 100644 index 00000000..d7d6a7d0 --- /dev/null +++ b/.buildinfo @@ -0,0 +1,4 @@ +# Sphinx build info version 1 +# This file records the configuration used when building these files. When it is not found, a full rebuild will be done. +config: 5e48846abcae3f972ee89e334aa19960 +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/.github/renovate.json5 b/.github/renovate.json5 deleted file mode 100644 index 90f48a46..00000000 --- a/.github/renovate.json5 +++ /dev/null @@ -1,24 +0,0 @@ -{ - $schema: "https://docs.renovatebot.com/renovate-schema.json", - extends: ["config:recommended"], - schedule: ["* 2 1-7 * 1"], - prHourlyLimit: 4, - timezone: "America/Los_Angeles", - rangeStrategy: "widen", - lockFileMaintenance: { enabled: true }, - "pre-commit": { enabled: true }, - packageRules: [ - { - matchUpdateTypes: ["lockFileMaintenance"], - automerge: true, - }, - { - // group:allNonMajor, with automerge - groupName: "all non-major dependencies", - groupSlug: "all-minor-patch", - matchPackageNames: ["*"], - matchUpdateTypes: ["minor", "patch"], - automerge: true, - }, - ], -} diff --git a/.github/workflows/codeflash.yml b/.github/workflows/codeflash.yml deleted file mode 100644 index 366292d4..00000000 --- a/.github/workflows/codeflash.yml +++ /dev/null @@ -1,53 +0,0 @@ -name: CodeFlash - -on: - pull_request: - paths: - - "src/**" - - "packages/**" - workflow_dispatch: - -concurrency: # Cancel prior if new push, SEE: https://stackoverflow.com/a/72408109 - group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} - cancel-in-progress: true - -jobs: - optimize: # SEE: https://docs.codeflash.ai/getting-started/codeflash-github-actions - runs-on: ubuntu-latest - env: - CODEFLASH_API_KEY: ${{ secrets.CODEFLASH_API_KEY }} - CODEFLASH_PR_NUMBER: ${{ github.event.number }} - steps: - - name: Check if PR is from CodeFlash bot - id: bot_check - working-directory: . - run: | - echo "Checking if this PR is created by CodeFlash bot..." - if [ "${{ github.event.pull_request.user.login }}" == "codeflash-ai[bot]" ]; then - echo "PR created by Codeflash bot. Skipping optimization." - echo "skip_remaining_steps=yes" >> $GITHUB_OUTPUT - else - echo "skip_remaining_steps=no" >> $GITHUB_OUTPUT - echo "It's not. Proceeding with the optimization." - fi - - if: steps.bot_check.outputs.skip_remaining_steps == 'no' - uses: actions/checkout@v4 - with: - fetch-depth: 0 - - if: steps.bot_check.outputs.skip_remaining_steps == 'no' - uses: astral-sh/setup-uv@v3 - with: - enable-cache: true - - if: steps.bot_check.outputs.skip_remaining_steps == 'no' - run: |- - uv sync - uv pip install codeflash - - name: Run CodeFlash on fhaviary - if: steps.bot_check.outputs.skip_remaining_steps == 'no' - run: uv run codeflash - - name: Run CodeFlash on aviary.gsm8k - if: steps.bot_check.outputs.skip_remaining_steps == 'no' - run: uv run codeflash --module-root=packages/gsm8k/src/aviary --tests-root=packages/gsm8k/tests - - name: Run CodeFlash on aviary.hotpotqa - if: steps.bot_check.outputs.skip_remaining_steps == 'no' - run: uv run codeflash --module-root=packages/hotpotqa/src/aviary --tests-root=packages/hotpotqa/tests diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml deleted file mode 100644 index 14580596..00000000 --- a/.github/workflows/docs.yml +++ /dev/null @@ -1,34 +0,0 @@ -name: docs - -on: - push: - branches: - - main # Change to your default branch - - docs - pull_request: - branches: - - main # Optional: build on pull requests to the main branch - - docs - -jobs: - build: - runs-on: ubuntu-latest - - steps: - - uses: actions/checkout@v3 - - uses: actions/setup-python@v4 - - name: Install dependencies - run: | - python -m pip install --upgrade pip - pip install sphinx sphinx_rtd_theme - - - name: Build the Sphinx documentation - working-directory: ./docs - run: sphinx-apidoc -o . ../src/aviary && make clean && make html - - - name: Deploy to GitHub Pages - uses: peaceiris/actions-gh-pages@v3 - with: - github_token: ${{ secrets.GITHUB_TOKEN }} - publish_branch: docs - publish_dir: docs/_build/html diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml deleted file mode 100644 index 664afb56..00000000 --- a/.github/workflows/publish.yml +++ /dev/null @@ -1,44 +0,0 @@ -name: Publish - -on: - release: - types: [created] - workflow_dispatch: - -jobs: - publish: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - - id: build-fhaviary - uses: hynek/build-and-inspect-python-package@v2 - with: - upload-name-suffix: -fhaviary - - name: Download built fhaviary artifact to dist/ - uses: actions/download-artifact@v4 - with: - name: ${{ steps.build-fhaviary.outputs.artifact-name }} - path: dist - - id: build-aviary-gsm8k - uses: hynek/build-and-inspect-python-package@v2 - with: - path: packages/gsm8k - upload-name-suffix: -gsm8k - - name: Download built aviary.gsm8k artifact to dist/ - uses: actions/download-artifact@v4 - with: - name: ${{ steps.build-aviary-gsm8k.outputs.artifact-name }} - path: dist - - id: build-aviary-hotpotqa - uses: hynek/build-and-inspect-python-package@v2 - with: - path: packages/hotpotqa - upload-name-suffix: -hotpotqa - - name: Download built aviary.hotpotqa artifact to dist/ - uses: actions/download-artifact@v4 - with: - name: ${{ steps.build-aviary-hotpotqa.outputs.artifact-name }} - path: dist - - uses: pypa/gh-action-pypi-publish@release/v1 - with: - password: ${{ secrets.PYPI_API_TOKEN }} diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml deleted file mode 100644 index 2546fbb6..00000000 --- a/.github/workflows/tests.yml +++ /dev/null @@ -1,83 +0,0 @@ -name: Lint and Test - -on: - push: - branches: [main] - pull_request: - workflow_dispatch: - -jobs: - pre-commit: - runs-on: ubuntu-latest - if: github.event_name == 'pull_request' # pre-commit-ci/lite-action only runs here - strategy: - matrix: - python-version: [3.11, 3.12] # Our min and max supported Python versions - steps: - - uses: actions/checkout@v4 - - uses: actions/setup-python@v5 - with: - python-version: ${{ matrix.python-version }} - - uses: pre-commit/action@v3.0.1 - - uses: pre-commit-ci/lite-action@v1.0.3 - if: always() - lint: - runs-on: ubuntu-latest - strategy: - matrix: - python-version: [3.11, 3.12] # Our min and max supported Python versions - steps: - - uses: actions/checkout@v4 - - uses: astral-sh/setup-uv@v3 - with: - enable-cache: true - - run: uv python pin ${{ matrix.python-version }} - - name: Check fhaviary build - if: matrix.python-version == '3.11' - uses: hynek/build-and-inspect-python-package@v2 - with: - upload-name-suffix: -fhaviary - - name: Check aviary.gsm8k build - if: matrix.python-version == '3.11' - uses: hynek/build-and-inspect-python-package@v2 - with: - path: packages/gsm8k - upload-name-suffix: -gsm8k - - name: Check aviary.hotpotqa build - if: matrix.python-version == '3.11' - uses: hynek/build-and-inspect-python-package@v2 - with: - path: packages/hotpotqa - upload-name-suffix: -hotpotqa - - run: uv sync --python-preference=only-managed - - name: Run refurb - run: | # Go with this until https://github.com/astral-sh/uv/issues/6459 - cd src - uv run refurb . - cd ../packages/gsm8k/src - uv run refurb . - cd ../../hotpotqa/src - uv run refurb . - cd ../../.. - uv run refurb tests packages/gsm8k/tests packages/hotpotqa/tests - - run: uv run pylint src packages - - if: matrix.python-version == '3.11' # Only need to run this on one version - uses: suzuki-shunsuke/github-action-renovate-config-validator@v1.1.0 - test: - runs-on: large-runner - steps: - - uses: actions/checkout@v4 - - uses: astral-sh/setup-uv@v3 - with: - enable-cache: true - - run: uv sync - - name: Cache datasets - uses: actions/cache@v4 - with: - path: ~/.cache/huggingface/datasets - key: ${{ runner.os }}-datasets-${{ hashFiles('packages/gsm8k') }}-${{ hashFiles('packages/hotpotqa') }} - restore-keys: ${{ runner.os }}-datasets- - - run: uv run pytest -n 16 --dist=loadfile # auto only launches 8 workers in CI, despite runners have 16 cores - env: - OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} - ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} diff --git a/.gitignore b/.gitignore deleted file mode 100644 index 01a52fbd..00000000 --- a/.gitignore +++ /dev/null @@ -1,299 +0,0 @@ -# Swap -[._]*.s[a-v][a-z] -!*.svg # comment out if you don't need vector files -[._]*.sw[a-p] -[._]s[a-rt-v][a-z] -[._]ss[a-gi-z] -[._]sw[a-p] - -# Session -Session.vim -Sessionx.vim - -# Temporary -.netrwhist -*~ -# Auto-generated tag files -tags -# Persistent undo -[._]*.un~ -# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider -# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839 - -# User-specific stuff -.idea/**/workspace.xml -.idea/**/tasks.xml -.idea/**/usage.statistics.xml -.idea/**/dictionaries -.idea/**/shelf - -# AWS User-specific -.idea/**/aws.xml - -# Generated files -.idea/**/contentModel.xml - -# Sensitive or high-churn files -.idea/**/dataSources/ -.idea/**/dataSources.ids -.idea/**/dataSources.local.xml -.idea/**/sqlDataSources.xml -.idea/**/dynamic.xml -.idea/**/uiDesigner.xml -.idea/**/dbnavigator.xml - -# Gradle -.idea/**/gradle.xml -.idea/**/libraries - -# Gradle and Maven with auto-import -# When using Gradle or Maven with auto-import, you should exclude module files, -# since they will be recreated, and may cause churn. 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For a more nuclear -# option (not recommended) you can uncomment the following to ignore the entire idea folder. -.idea/ - -# Version files made by setuptools_scm -**/version.py diff --git a/.mailmap b/.mailmap deleted file mode 100644 index 206df6cb..00000000 --- a/.mailmap +++ /dev/null @@ -1,5 +0,0 @@ -Andrew White -James Braza -Michael Skarlinski mskarlin <12701035+mskarlin@users.noreply.github.com> -Ryan-Rhys Griffiths -Siddharth Narayanan diff --git a/packages/gsm8k/src/aviary/envs/gsm8k/py.typed b/.nojekyll similarity index 100% rename from packages/gsm8k/src/aviary/envs/gsm8k/py.typed rename to .nojekyll diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml deleted file mode 100644 index 543a4275..00000000 --- a/.pre-commit-config.yaml +++ /dev/null @@ -1,91 +0,0 @@ ---- -default_language_version: - python: python3 -repos: - - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v5.0.0 - hooks: - - id: check-added-large-files - - id: check-byte-order-marker - - id: check-case-conflict - - id: check-merge-conflict - - id: check-shebang-scripts-are-executable - - id: check-symlinks - - id: check-toml - - id: check-yaml - - id: debug-statements - - id: detect-private-key - - id: end-of-file-fixer - - id: mixed-line-ending - - id: trailing-whitespace - - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.7.1 - hooks: - - id: ruff - args: [--fix, --exit-non-zero-on-fix] - - id: ruff-format - - repo: https://github.com/rbubley/mirrors-prettier - rev: v3.3.3 - hooks: - - id: prettier - - repo: https://github.com/Yelp/detect-secrets - rev: v1.5.0 - hooks: - - id: detect-secrets - additional_dependencies: [".[word_list]"] - args: - - --word-list=.secrets.allowlist - - --exclude-files=.secrets.baseline$ - exclude: tests/cassettes - - repo: https://github.com/jumanjihouse/pre-commit-hooks - rev: 3.0.0 - hooks: - - id: check-mailmap - - repo: https://github.com/codespell-project/codespell - rev: v2.3.0 - hooks: - - id: codespell - additional_dependencies: [".[toml]"] - exclude_types: [jupyter] - - repo: https://github.com/pappasam/toml-sort - rev: v0.23.1 - hooks: - - id: toml-sort-fix - - repo: https://github.com/jsh9/markdown-toc-creator - rev: 0.0.8 - hooks: - - id: markdown-toc-creator - - repo: https://github.com/adamchainz/blacken-docs - rev: 1.19.1 - hooks: - - id: blacken-docs - - repo: https://github.com/srstevenson/nb-clean - rev: 4.0.1 - hooks: - - id: nb-clean - args: [--preserve-cell-outputs, --remove-empty-cells] - - repo: https://github.com/abravalheri/validate-pyproject - rev: v0.22 - hooks: - - id: validate-pyproject - additional_dependencies: - - "validate-pyproject-schema-store[all]>=2024.08.19" # For Ruff renaming RUF025 to C420 - - repo: https://github.com/astral-sh/uv-pre-commit - rev: 0.4.27 - hooks: - - id: uv-lock - - repo: https://github.com/pre-commit/mirrors-mypy - rev: v1.13.0 - hooks: - - id: mypy - additional_dependencies: - - boto3-stubs[s3] - - datasets - - docstring_parser>=0.16 # Match aviary pyproject.toml - - httpx - - litellm - - numpy - - pydantic~=2.0 # Match aviary pyproject.toml - - tenacity - - types-Pillow - - pandas-stubs diff --git a/.python-version b/.python-version deleted file mode 100644 index e4fba218..00000000 --- a/.python-version +++ /dev/null @@ -1 +0,0 @@ -3.12 diff --git a/.secrets.allowlist b/.secrets.allowlist deleted file mode 100644 index eef34657..00000000 --- a/.secrets.allowlist +++ /dev/null @@ -1,2 +0,0 @@ -authorization -x-api-key diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md deleted file mode 100644 index 3d61ba59..00000000 --- a/CONTRIBUTING.md +++ /dev/null @@ -1,21 +0,0 @@ -# Contributing to aviary - -## Repo Structure - -aviary is a monorepo using -[`uv`'s workspace layout](https://docs.astral.sh/uv/concepts/workspaces/#workspace-layouts). - -## Installation - -1. Git clone this repo -2. Install the project manager `uv`: - https://docs.astral.sh/uv/getting-started/installation/ -3. Run `uv sync` - -This will editably install the full monorepo in your local environment. - -## Testing - -To run tests, please just run `pytest` in the repo root. - -Note you will need OpenAI and Anthropic API keys configured. diff --git a/LICENSE b/LICENSE deleted file mode 100644 index 261eeb9e..00000000 --- a/LICENSE +++ /dev/null @@ -1,201 +0,0 @@ - Apache License - Version 2.0, January 2004 - http://www.apache.org/licenses/ - - TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION - - 1. 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The `action_msg` should be `ToolRequestMessage` which is 1 or more calls -to tools provided by the `reset`. The `obs_msgs` returned from the environment are `ToolResponseMessage` or other -general messages that are observations. The `reward` is a scalar value. The `done` is a boolean value. The `truncated` -is a boolean value. - -Let's see a complete example for building an environment. - -### Environment subclass and state - -First we define an environment by subclassing the `Environment` and defining a `state`. The `state` is all variables -that change per step and we want to keep together. It will be accessible in your tools, so you can use it to store -information that you want to persist between steps and between tools. - -```py -from pydantic import BaseModel -from aviary.core import Environment - - -class ExampleState(BaseModel): - reward: float = 0 - done: bool = False - - -class ExampleEnv(Environment[ExampleState]): - state: ExampleState -``` - -We do not have other variables aside from `state` for this environment. We could have things like configuration, a name, -tasks, etc. attached to it. - -### Common environments - -We expose a simple interface to some commonly-used environments that are included in the aviary codebase. You can instantiate one by referring to its name and passing keyword arguments: - -```py -from aviary.core import Environment - -env = Environment.from_name( - "calculator", - problem_id="example-problem", - problem="What is 2+3?", - answer=5, -) -``` - -Included with some environments are collections of problems that define training or evaluation datasets. -We refer to these as `TaskDataset`s, and expose them with a similar interface: - -```py -from aviary.core import TaskDataset - -dataset = TaskDataset.from_name("hotpotqa", split="dev") -``` - -### Tool - -Now let's define our functions that will make up our tools. We'll just have one tool. Tools can optionally have their -last argument be `state` which is the environment state. This is how you can access the state. This argument will not be -exposed to the agent as a possible parameter and will be injected by the environment (if part of the function -signature). - -```py -def print_story(story: str, state: ExampleState) -> None: - """Print a story. - - Args: - story: Story to print. - state: Environment state (hidden from agent - can put this string to shutup linter). - """ - print(story) - state.reward = 1 - state.done = True -``` - -There is special syntax we use for defining a tool. The tool is built from the following parts of the function: its -name, its arguments names, the arguments types, and the docstring. The docstring is parsed to get a description of the -function and its arguments, so match the syntax carefully. - -Setting the `state.done = True` is how we indicate completion. This example terminates immediately. You can use other -ways to decide to terminate. - -You can make the function `async` - the environment will account for that when the tool is called. - -#### Advanced tool descriptions - -We support more sophisticated signatures, for those who want to use them: - -- Multiline docstrings -- Non-primitive type hints (e.g. type unions) -- Default values -- Exclusion of info below `\f` (see below) - -If you have summary-level information that belongs in the docstring, -but you don't want it part of the `Tool.info.description`, -add a `r` prefix to the docstring -and inject `\f` before the summary information to exclude. -This convention was created by FastAPI ([docs][1]). - -[1]: https://fastapi.tiangolo.com/advanced/path-operation-advanced-configuration/#advanced-description-from-docstring - -```python -def print_story(story: str | bytes, state: ExampleState) -> None: - r"""Print a story. - - Extra information that is part of the tool description. - - \f - - This sentence is excluded because it's an implementation detail. - - Args: - story: Story to print, either as a string or bytes. - state: Environment state. - """ - print(story) - state.reward = 1 - state.done = True -``` - -### Environment `reset` method - -Now we'll define the `reset` function which should set-up the tools, -and return one or more initial observations and the tools. -The `reset` function is `async` to allow for database interactions or HTTP requests. - -```py -from aviary.core import Message, Tool - - -async def reset(self) -> tuple[list[Message], list[Tool]]: - self.tools = [Tool.from_function(ExampleEnv.print_story)] - - start = Message(content="Write a 5 word story and call print") - - return [start], self.tools -``` - -### Environment `step` method - -Now we can define the `step` function which should take an action and return the next observation, reward, done, and if -the episode was truncated. - -```py -from aviary.core import Message - - -async def step(self, action: Message) -> tuple[list[Message], float, bool, bool]: - msgs: list[Message] = await self.exec_tool_calls(action, state=self.state) - return msgs, self.state.reward, self.state.done, False -``` - -You will probably often use this specific syntax for calling the tools - calling `exec_tool_calls` with the action. - -### Environment `export_frame` method - -Optionally, we can define a function to export a snapshot of the environment -and its state for visualization or debugging purposes. - -```py -from aviary.core import Frame - - -def export_frame(self) -> Frame: - return Frame( - state={"done": self.state.done, "reward": self.state.reward}, - info={"tool_names": [t.info.name for t in self.tools]}, - ) -``` - -### View Environment Tools - -If an environment can be instantiated without anything other than a task (i.e., it implements `from_task`), you can start a server to view its tools: - -```sh -pip install fhaviary[server] -aviary tools [env name] -``` - -This will start a server that allows you to view the tools and call them, viewing the descriptions/types and output that an agent would see when using the tools. - -## Environments - -Here are a few environments implemented with aviary: - -| Environment | PyPI | Extra | README | | -| ----------- | -------------------------------------------------------------- | -------------------- | -------------------------------------------------------------------- | --- | -| GSM8k | [`aviary.gsm8k`](https://pypi.org/project/aviary.gsm8k/) | `fhaviary[gsm8k]` | [`README.md`](packages/gsm8k/README.md#installation) | | -| HotPotQA | [`aviary.hotpotqa`](https://pypi.org/project/aviary.hotpotqa/) | `fhaviary[hotpotqa]` | [`README.md`](packages/hotpotqa/README.md#installation) | | -| PaperQA | [`paper-qa`](https://pypi.org/project/paper-qa/) | `fhaviary[paperqa]` | [`README.md`](https://github.com/Future-House/paper-qa#installation) | | diff --git a/_modules/index.html b/_modules/index.html new file mode 100644 index 00000000..e25b3b1e --- /dev/null +++ b/_modules/index.html @@ -0,0 +1,99 @@ + + + + + + + Overview: module code — aviary documentation + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +

All modules for which code is available

+ + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + +
+ + + + + + \ No newline at end of file diff --git a/_modules/utils.html b/_modules/utils.html new file mode 100644 index 00000000..02d1bfcc --- /dev/null +++ b/_modules/utils.html @@ -0,0 +1,152 @@ + + + + + + + utils — aviary documentation + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +

Source code for utils

+import base64
+import contextlib
+import inspect
+import io
+from typing import TYPE_CHECKING, Any
+
+if TYPE_CHECKING:
+    import numpy as np
+
+
+

+[docs]
+def partial_format(value: str, **formats: dict[str, Any]) -> str:
+    """Partially format a string given a variable amount of formats."""
+    for template_key, template_value in formats.items():
+        with contextlib.suppress(KeyError):
+            value = value.format(**{template_key: template_value})
+    return value

+
+
+
+

+[docs]
+def encode_image_to_base64(img: "np.ndarray") -> str:
+    """Encode an image to a base64 string, to be included as an image_url in a Message."""
+    try:
+        from PIL import Image
+    except ImportError as e:
+        raise ImportError(
+            "Image processing requires the 'image' extra for 'Pillow'. Please:"
+            " `pip install aviary[image]`."
+        ) from e
+
+    image = Image.fromarray(img)
+    buffer = io.BytesIO()
+    image.save(buffer, format="PNG")
+    return (
+        f"data:image/png;base64,{base64.b64encode(buffer.getvalue()).decode('utf-8')}"
+    )

+
+
+
+

+[docs]
+def is_coroutine_callable(obj) -> bool:
+    """Get if the input object is awaitable."""
+    if inspect.isfunction(obj) or inspect.ismethod(obj):
+        return inspect.iscoroutinefunction(obj)
+    if callable(obj):
+        return inspect.iscoroutinefunction(obj.__call__)
+    return False

+
+
+ +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + +
+ + + + + + \ No newline at end of file diff --git a/docs/core.rst b/_sources/core.rst.txt similarity index 100% rename from docs/core.rst rename to _sources/core.rst.txt diff --git a/docs/env.rst b/_sources/env.rst.txt similarity index 100% rename from docs/env.rst rename to _sources/env.rst.txt diff --git a/docs/env_client.rst b/_sources/env_client.rst.txt similarity index 100% rename from docs/env_client.rst rename to _sources/env_client.rst.txt diff --git a/docs/index.rst b/_sources/index.rst.txt similarity index 100% rename from docs/index.rst rename to _sources/index.rst.txt diff --git a/docs/main.rst b/_sources/main.rst.txt similarity index 100% rename from docs/main.rst rename to _sources/main.rst.txt diff --git a/docs/message.rst b/_sources/message.rst.txt similarity index 100% rename from docs/message.rst rename to _sources/message.rst.txt diff --git a/docs/modules.rst b/_sources/modules.rst.txt similarity index 100% rename from docs/modules.rst rename to _sources/modules.rst.txt diff --git a/docs/render.rst b/_sources/render.rst.txt similarity index 100% rename from docs/render.rst rename to _sources/render.rst.txt diff --git a/docs/tools.rst b/_sources/tools.rst.txt similarity index 100% rename from docs/tools.rst rename to _sources/tools.rst.txt diff --git a/docs/utils.rst b/_sources/utils.rst.txt similarity index 100% rename from docs/utils.rst rename to _sources/utils.rst.txt diff --git a/_static/alabaster.css b/_static/alabaster.css new file mode 100644 index 00000000..7e75bf8f --- /dev/null +++ b/_static/alabaster.css @@ -0,0 +1,663 @@ +/* -- page layout ----------------------------------------------------------- */ + +body { + font-family: Georgia, serif; 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+ width: 230px; + margin-left: -100%; + font-size: 90%; + word-wrap: break-word; + overflow-wrap : break-word; +} + +div.sphinxsidebar ul { + list-style: none; +} + +div.sphinxsidebar ul ul, +div.sphinxsidebar ul.want-points { + margin-left: 20px; + list-style: square; +} + +div.sphinxsidebar ul ul { + margin-top: 0; + margin-bottom: 0; +} + +div.sphinxsidebar form { + margin-top: 10px; +} + +div.sphinxsidebar input { + border: 1px solid #98dbcc; + font-family: sans-serif; + font-size: 1em; +} + +div.sphinxsidebar #searchbox form.search { + overflow: hidden; +} + +div.sphinxsidebar #searchbox input[type="text"] { + float: left; + width: 80%; + padding: 0.25em; + box-sizing: border-box; +} + +div.sphinxsidebar #searchbox input[type="submit"] { + float: left; + width: 20%; + border-left: none; + padding: 0.25em; + box-sizing: border-box; +} + + +img { + border: 0; + max-width: 100%; +} + +/* -- search page ----------------------------------------------------------- */ + +ul.search { + margin-top: 10px; +} + +ul.search li { + padding: 5px 0; +} + +ul.search li a { + font-weight: bold; +} + +ul.search li p.context { + color: #888; + margin: 2px 0 0 30px; + text-align: left; +} + +ul.keywordmatches li.goodmatch a { + font-weight: bold; +} + +/* -- index page ------------------------------------------------------------ */ + +table.contentstable { + width: 90%; + margin-left: auto; + margin-right: auto; +} + +table.contentstable p.biglink { + line-height: 150%; +} + +a.biglink { + font-size: 1.3em; +} + +span.linkdescr { + font-style: italic; + padding-top: 5px; + font-size: 90%; +} + +/* -- general index --------------------------------------------------------- */ + +table.indextable { + width: 100%; +} + +table.indextable td { + text-align: left; + vertical-align: top; +} + +table.indextable ul { + margin-top: 0; + margin-bottom: 0; + list-style-type: none; +} + +table.indextable > tbody > tr > td > ul { + padding-left: 0em; +} + +table.indextable tr.pcap { + height: 10px; +} + +table.indextable tr.cap { + margin-top: 10px; + background-color: #f2f2f2; +} + +img.toggler { + margin-right: 3px; + margin-top: 3px; + cursor: pointer; +} + +div.modindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +div.genindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +/* -- domain module index --------------------------------------------------- */ + +table.modindextable td { + padding: 2px; + border-collapse: collapse; +} + +/* -- general body styles --------------------------------------------------- */ + +div.body { + min-width: inherit; + max-width: 800px; +} + +div.body p, div.body dd, div.body li, div.body blockquote { + -moz-hyphens: auto; + -ms-hyphens: auto; + -webkit-hyphens: auto; + hyphens: auto; +} + +a.headerlink { + visibility: hidden; +} + +a:visited { + color: #551A8B; +} + +h1:hover > a.headerlink, +h2:hover > a.headerlink, +h3:hover > a.headerlink, +h4:hover > a.headerlink, +h5:hover > a.headerlink, +h6:hover > a.headerlink, +dt:hover > a.headerlink, +caption:hover > a.headerlink, +p.caption:hover > a.headerlink, +div.code-block-caption:hover > a.headerlink { + visibility: visible; +} + +div.body p.caption { + text-align: inherit; +} + +div.body td { + text-align: left; +} + +.first { + margin-top: 0 !important; +} + +p.rubric { + margin-top: 30px; + font-weight: bold; +} + +img.align-left, figure.align-left, .figure.align-left, object.align-left { + clear: left; + float: left; + margin-right: 1em; +} + +img.align-right, figure.align-right, .figure.align-right, object.align-right { + clear: right; + float: right; + margin-left: 1em; +} + +img.align-center, figure.align-center, .figure.align-center, object.align-center { + display: block; + margin-left: auto; + margin-right: auto; +} + +img.align-default, figure.align-default, .figure.align-default { + display: block; + margin-left: auto; + margin-right: auto; +} + +.align-left { + text-align: left; +} + +.align-center { + text-align: center; +} + +.align-default { + text-align: center; +} + +.align-right { + text-align: right; +} + +/* -- sidebars -------------------------------------------------------------- */ + +div.sidebar, +aside.sidebar { + margin: 0 0 0.5em 1em; + border: 1px solid #ddb; + padding: 7px; + background-color: #ffe; + width: 40%; + float: right; + clear: right; + overflow-x: auto; +} + +p.sidebar-title { + font-weight: bold; +} + +nav.contents, +aside.topic, +div.admonition, div.topic, blockquote { + clear: left; +} + +/* -- topics ---------------------------------------------------------------- */ + +nav.contents, +aside.topic, +div.topic { + border: 1px solid #ccc; + padding: 7px; + margin: 10px 0 10px 0; +} + +p.topic-title { + font-size: 1.1em; + font-weight: bold; + margin-top: 10px; +} + +/* -- admonitions ----------------------------------------------------------- */ + +div.admonition { + margin-top: 10px; + margin-bottom: 10px; + padding: 7px; +} + +div.admonition dt { + font-weight: bold; +} + +p.admonition-title { + margin: 0px 10px 5px 0px; + font-weight: bold; +} + +div.body p.centered { + text-align: center; + margin-top: 25px; +} + +/* -- content of sidebars/topics/admonitions -------------------------------- */ + +div.sidebar > :last-child, +aside.sidebar > :last-child, +nav.contents > :last-child, +aside.topic > :last-child, +div.topic > :last-child, +div.admonition > :last-child { + margin-bottom: 0; +} + +div.sidebar::after, +aside.sidebar::after, +nav.contents::after, +aside.topic::after, +div.topic::after, +div.admonition::after, +blockquote::after { + display: block; + content: ''; + clear: both; +} + +/* -- tables ---------------------------------------------------------------- */ + +table.docutils { + margin-top: 10px; + margin-bottom: 10px; + border: 0; + border-collapse: collapse; +} + +table.align-center { + margin-left: auto; + margin-right: auto; +} + +table.align-default { + margin-left: auto; + margin-right: auto; +} + +table caption span.caption-number { + font-style: italic; +} + +table caption span.caption-text { +} + +table.docutils td, table.docutils th { + padding: 1px 8px 1px 5px; + border-top: 0; + border-left: 0; + border-right: 0; + border-bottom: 1px solid #aaa; +} + +th { + text-align: left; + padding-right: 5px; +} + +table.citation { + border-left: solid 1px gray; + margin-left: 1px; +} + +table.citation td { + border-bottom: none; +} + +th > :first-child, +td > :first-child { + margin-top: 0px; +} + +th > :last-child, +td > :last-child { + margin-bottom: 0px; +} + +/* -- figures --------------------------------------------------------------- */ + +div.figure, figure { + margin: 0.5em; + padding: 0.5em; +} + +div.figure p.caption, figcaption { + padding: 0.3em; +} + +div.figure p.caption span.caption-number, +figcaption span.caption-number { + font-style: italic; +} + +div.figure p.caption span.caption-text, +figcaption span.caption-text { +} + +/* -- field list styles ----------------------------------------------------- */ + +table.field-list td, table.field-list th { + border: 0 !important; +} + +.field-list ul { + margin: 0; + padding-left: 1em; +} + +.field-list p { + margin: 0; +} + +.field-name { + -moz-hyphens: manual; + -ms-hyphens: manual; + -webkit-hyphens: manual; + hyphens: manual; +} + +/* -- hlist styles ---------------------------------------------------------- */ + +table.hlist { + margin: 1em 0; +} + +table.hlist td { + vertical-align: top; +} + +/* -- object description styles --------------------------------------------- */ + +.sig { + font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace; +} + +.sig-name, code.descname { + background-color: transparent; + font-weight: bold; +} + +.sig-name { + font-size: 1.1em; +} + +code.descname { + font-size: 1.2em; +} + +.sig-prename, code.descclassname { + background-color: transparent; +} + +.optional { + font-size: 1.3em; +} + +.sig-paren { + font-size: larger; +} + +.sig-param.n { + font-style: italic; +} + +/* C++ specific styling */ + +.sig-inline.c-texpr, +.sig-inline.cpp-texpr { + font-family: unset; +} + +.sig.c .k, .sig.c .kt, +.sig.cpp .k, .sig.cpp .kt { + color: #0033B3; +} + +.sig.c .m, +.sig.cpp .m { + color: #1750EB; +} + +.sig.c .s, .sig.c .sc, +.sig.cpp .s, .sig.cpp .sc { + color: #067D17; +} + + +/* -- other body styles ----------------------------------------------------- */ + +ol.arabic { + list-style: decimal; +} + +ol.loweralpha { + list-style: lower-alpha; +} + +ol.upperalpha { + list-style: upper-alpha; +} + +ol.lowerroman { + list-style: lower-roman; +} + +ol.upperroman { + list-style: upper-roman; +} + +:not(li) > ol > li:first-child > :first-child, +:not(li) > ul > li:first-child > :first-child { + margin-top: 0px; +} + +:not(li) > ol > li:last-child > :last-child, +:not(li) > ul > li:last-child > :last-child { + margin-bottom: 0px; +} + +ol.simple ol p, +ol.simple ul p, +ul.simple ol p, +ul.simple ul p { + margin-top: 0; +} + +ol.simple > li:not(:first-child) > p, +ul.simple > li:not(:first-child) > p { + margin-top: 0; +} + +ol.simple p, +ul.simple p { + margin-bottom: 0; +} + +aside.footnote > span, +div.citation > span { + float: left; +} +aside.footnote > span:last-of-type, +div.citation > span:last-of-type { + padding-right: 0.5em; +} +aside.footnote > p { + margin-left: 2em; +} +div.citation > p { + margin-left: 4em; +} +aside.footnote > p:last-of-type, +div.citation > p:last-of-type { + margin-bottom: 0em; +} +aside.footnote > p:last-of-type:after, +div.citation > p:last-of-type:after { + content: ""; + clear: both; +} + +dl.field-list { + display: grid; + grid-template-columns: fit-content(30%) auto; +} + +dl.field-list > dt { + font-weight: bold; + word-break: break-word; + padding-left: 0.5em; + padding-right: 5px; +} + +dl.field-list > dd { + padding-left: 0.5em; + margin-top: 0em; + margin-left: 0em; + margin-bottom: 0em; +} + +dl { + margin-bottom: 15px; +} + +dd > :first-child { + margin-top: 0px; +} + +dd ul, dd table { + margin-bottom: 10px; +} + +dd { + margin-top: 3px; + margin-bottom: 10px; + margin-left: 30px; +} + +.sig dd { + margin-top: 0px; + margin-bottom: 0px; +} + +.sig dl { + margin-top: 0px; + margin-bottom: 0px; +} + +dl > dd:last-child, +dl > dd:last-child > :last-child { + margin-bottom: 0; +} + +dt:target, span.highlighted { + background-color: #fbe54e; +} + +rect.highlighted { + fill: #fbe54e; +} + +dl.glossary dt { + font-weight: bold; + font-size: 1.1em; +} + +.versionmodified { + font-style: italic; +} + +.system-message { + background-color: #fda; + padding: 5px; + border: 3px solid red; +} + +.footnote:target { + background-color: #ffa; +} + +.line-block { + display: block; + margin-top: 1em; + margin-bottom: 1em; +} + +.line-block .line-block { + margin-top: 0; + margin-bottom: 0; + margin-left: 1.5em; +} + +.guilabel, .menuselection { + font-family: sans-serif; +} + +.accelerator { + text-decoration: underline; +} + +.classifier { + font-style: oblique; +} + +.classifier:before { + font-style: normal; + margin: 0 0.5em; + content: ":"; + display: inline-block; +} + +abbr, acronym { + border-bottom: dotted 1px; + cursor: help; +} + +.translated { + background-color: rgba(207, 255, 207, 0.2) +} + +.untranslated { + background-color: rgba(255, 207, 207, 0.2) +} + +/* -- code displays --------------------------------------------------------- */ + +pre { + overflow: auto; + overflow-y: hidden; /* fixes display issues on Chrome browsers */ +} + +pre, div[class*="highlight-"] { + clear: both; +} + +span.pre { + -moz-hyphens: none; + -ms-hyphens: none; + -webkit-hyphens: none; + hyphens: none; + white-space: nowrap; +} + +div[class*="highlight-"] { + margin: 1em 0; +} + +td.linenos pre { + border: 0; + background-color: transparent; + color: #aaa; +} + +table.highlighttable { + display: block; +} + +table.highlighttable tbody { + display: block; +} + +table.highlighttable tr { + display: flex; +} + +table.highlighttable td { + margin: 0; + padding: 0; +} + +table.highlighttable td.linenos { + padding-right: 0.5em; +} + +table.highlighttable td.code { + flex: 1; + overflow: hidden; +} + +.highlight .hll { + display: block; +} + +div.highlight pre, +table.highlighttable pre { + margin: 0; +} + +div.code-block-caption + div { + margin-top: 0; +} + +div.code-block-caption { + margin-top: 1em; + padding: 2px 5px; + font-size: small; +} + +div.code-block-caption code { + background-color: transparent; +} + +table.highlighttable td.linenos, +span.linenos, +div.highlight span.gp { /* gp: Generic.Prompt */ + user-select: none; + -webkit-user-select: text; /* Safari fallback only */ + -webkit-user-select: none; /* Chrome/Safari */ + -moz-user-select: none; /* Firefox */ + -ms-user-select: none; /* IE10+ */ +} + +div.code-block-caption span.caption-number { + padding: 0.1em 0.3em; + font-style: italic; +} + +div.code-block-caption span.caption-text { +} + +div.literal-block-wrapper { + margin: 1em 0; +} + +code.xref, a code { + background-color: transparent; + font-weight: bold; +} + +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { + background-color: transparent; +} + +.viewcode-link { + float: right; +} + +.viewcode-back { + float: right; + font-family: sans-serif; +} + +div.viewcode-block:target { + margin: -1px -10px; + padding: 0 10px; +} + +/* -- math display ---------------------------------------------------------- */ + +img.math { + vertical-align: middle; +} + +div.body div.math p { + text-align: center; +} + +span.eqno { + float: right; +} + +span.eqno a.headerlink { + position: absolute; + z-index: 1; +} + +div.math:hover a.headerlink { + visibility: visible; +} + +/* -- printout stylesheet --------------------------------------------------- */ + +@media print { + div.document, + div.documentwrapper, + div.bodywrapper { + margin: 0 !important; + width: 100%; + } + + div.sphinxsidebar, + div.related, + div.footer, + #top-link { + display: none; + } +} \ No newline at end of file diff --git a/_static/custom.css b/_static/custom.css new file mode 100644 index 00000000..2a924f1d --- /dev/null +++ b/_static/custom.css @@ -0,0 +1 @@ +/* This file intentionally left blank. */ diff --git a/_static/doctools.js b/_static/doctools.js new file mode 100644 index 00000000..0398ebb9 --- /dev/null +++ b/_static/doctools.js @@ -0,0 +1,149 @@ +/* + * Base JavaScript utilities for all Sphinx HTML documentation. + */ +"use strict"; + +const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([ + "TEXTAREA", + "INPUT", + "SELECT", + "BUTTON", +]); + +const _ready = (callback) => { + if (document.readyState !== "loading") { + callback(); + } else { + document.addEventListener("DOMContentLoaded", callback); + } +}; + +/** + * Small JavaScript module for the documentation. + */ +const Documentation = { + init: () => { + Documentation.initDomainIndexTable(); + Documentation.initOnKeyListeners(); + }, + + /** + * i18n support + */ + TRANSLATIONS: {}, + PLURAL_EXPR: (n) => (n === 1 ? 0 : 1), + LOCALE: "unknown", + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext: (string) => { + const translated = Documentation.TRANSLATIONS[string]; + switch (typeof translated) { + case "undefined": + return string; // no translation + case "string": + return translated; // translation exists + default: + return translated[0]; // (singular, plural) translation tuple exists + } + }, + + ngettext: (singular, plural, n) => { + const translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated !== "undefined") + return translated[Documentation.PLURAL_EXPR(n)]; + return n === 1 ? singular : plural; + }, + + addTranslations: (catalog) => { + Object.assign(Documentation.TRANSLATIONS, catalog.messages); + Documentation.PLURAL_EXPR = new Function( + "n", + `return (${catalog.plural_expr})` + ); + Documentation.LOCALE = catalog.locale; + }, + + /** + * helper function to focus on search bar + */ + focusSearchBar: () => { + document.querySelectorAll("input[name=q]")[0]?.focus(); + }, + + /** + * Initialise the domain index toggle buttons + */ + initDomainIndexTable: () => { + const toggler = (el) => { + const idNumber = el.id.substr(7); + const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`); + if (el.src.substr(-9) === "minus.png") { + el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`; + toggledRows.forEach((el) => (el.style.display = "none")); + } else { + el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`; + toggledRows.forEach((el) => (el.style.display = "")); + } + }; + + const togglerElements = document.querySelectorAll("img.toggler"); + togglerElements.forEach((el) => + el.addEventListener("click", (event) => toggler(event.currentTarget)) + ); + togglerElements.forEach((el) => (el.style.display = "")); + if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler); + }, + + initOnKeyListeners: () => { + // only install a listener if it is really needed + if ( + !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS && + !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS + ) + return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.altKey || event.ctrlKey || event.metaKey) return; + + if (!event.shiftKey) { + switch (event.key) { + case "ArrowLeft": + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; + + const prevLink = document.querySelector('link[rel="prev"]'); + if (prevLink && prevLink.href) { + window.location.href = prevLink.href; + event.preventDefault(); + } + break; + case "ArrowRight": + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; + + const nextLink = document.querySelector('link[rel="next"]'); + if (nextLink && nextLink.href) { + window.location.href = nextLink.href; + event.preventDefault(); + } + break; + } + } + + // some keyboard layouts may need Shift to get / + switch (event.key) { + case "/": + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break; + Documentation.focusSearchBar(); + event.preventDefault(); + } + }); + }, +}; + +// quick alias for translations +const _ = Documentation.gettext; + +_ready(Documentation.init); diff --git a/_static/documentation_options.js b/_static/documentation_options.js new file mode 100644 index 00000000..7e4c114f --- /dev/null +++ b/_static/documentation_options.js @@ -0,0 +1,13 @@ +const DOCUMENTATION_OPTIONS = { + VERSION: '', + LANGUAGE: 'en', + COLLAPSE_INDEX: false, + BUILDER: 'html', + FILE_SUFFIX: '.html', + LINK_SUFFIX: '.html', + HAS_SOURCE: true, + SOURCELINK_SUFFIX: '.txt', + NAVIGATION_WITH_KEYS: false, + SHOW_SEARCH_SUMMARY: true, + ENABLE_SEARCH_SHORTCUTS: true, +}; \ No newline at end of file diff --git a/_static/file.png b/_static/file.png new file mode 100644 index 0000000000000000000000000000000000000000..a858a410e4faa62ce324d814e4b816fff83a6fb3 GIT binary patch literal 286 zcmV+(0pb3MP)s`hMrGg#P~ix$^RISR_I47Y|r1 z_CyJOe}D1){SET-^Amu_i71Lt6eYfZjRyw@I6OQAIXXHDfiX^GbOlHe=Ae4>0m)d(f|Me07*qoM6N<$f}vM^LjV8( literal 0 HcmV?d00001 diff --git a/_static/github-banner.svg b/_static/github-banner.svg new file mode 100644 index 00000000..c47d9dc0 --- /dev/null +++ b/_static/github-banner.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/_static/language_data.js b/_static/language_data.js new file mode 100644 index 00000000..c7fe6c6f --- /dev/null +++ b/_static/language_data.js @@ -0,0 +1,192 @@ +/* + * This script contains the language-specific data used by searchtools.js, + * namely the list of stopwords, stemmer, scorer and splitter. + */ + +var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"]; + + +/* Non-minified version is copied as a separate JS file, if available */ + +/** + * Porter Stemmer + */ +var Stemmer = function() { + + var step2list = { + ational: 'ate', + tional: 'tion', + enci: 'ence', + anci: 'ance', + izer: 'ize', + bli: 'ble', + alli: 'al', + entli: 'ent', + eli: 'e', + ousli: 'ous', + ization: 'ize', + ation: 'ate', + ator: 'ate', + alism: 'al', + iveness: 'ive', + fulness: 'ful', + ousness: 'ous', + aliti: 'al', + iviti: 'ive', + biliti: 'ble', + logi: 'log' + }; + + var step3list = { + icate: 'ic', + ative: '', + alize: 'al', + iciti: 'ic', + ical: 'ic', + ful: '', + ness: '' + }; + + var c = "[^aeiou]"; // consonant + var v = "[aeiouy]"; // vowel + var C = c + "[^aeiouy]*"; // consonant sequence + var V = v + "[aeiou]*"; // vowel sequence + + var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0 + var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1 + var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1 + var s_v = "^(" + C + ")?" + v; // vowel in stem + + this.stemWord = function (w) { + var stem; + var suffix; + var firstch; + var origword = w; + + if (w.length < 3) + return w; + + var re; + var re2; + var re3; + var re4; + + firstch = w.substr(0,1); + if (firstch == "y") + w = firstch.toUpperCase() + w.substr(1); + + // Step 1a + re = /^(.+?)(ss|i)es$/; + re2 = /^(.+?)([^s])s$/; + + if (re.test(w)) + w = w.replace(re,"$1$2"); + else if (re2.test(w)) + w = w.replace(re2,"$1$2"); + + // Step 1b + re = /^(.+?)eed$/; + re2 = /^(.+?)(ed|ing)$/; + if (re.test(w)) { + var fp = re.exec(w); + re = new RegExp(mgr0); + if (re.test(fp[1])) { + re = /.$/; + w = w.replace(re,""); + } + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = new RegExp(s_v); + if (re2.test(stem)) { + w = stem; + re2 = /(at|bl|iz)$/; + re3 = new RegExp("([^aeiouylsz])\\1$"); + re4 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re2.test(w)) + w = w + "e"; + else if (re3.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + else if (re4.test(w)) + w = w + "e"; + } + } + + // Step 1c + re = /^(.+?)y$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(s_v); + if (re.test(stem)) + w = stem + "i"; + } + + // Step 2 + re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step2list[suffix]; + } + + // Step 3 + re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step3list[suffix]; + } + + // Step 4 + re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + re2 = /^(.+?)(s|t)(ion)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + if (re.test(stem)) + w = stem; + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = new RegExp(mgr1); + if (re2.test(stem)) + w = stem; + } + + // Step 5 + re = /^(.+?)e$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + re2 = new RegExp(meq1); + re3 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) + w = stem; + } + re = /ll$/; + re2 = new RegExp(mgr1); + if (re.test(w) && re2.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + + // and turn initial Y back to y + if (firstch == "y") + w = firstch.toLowerCase() + w.substr(1); + return w; + } +} + diff --git a/_static/minus.png b/_static/minus.png new file mode 100644 index 0000000000000000000000000000000000000000..d96755fdaf8bb2214971e0db9c1fd3077d7c419d GIT binary patch literal 90 zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu=nj kDsEF_5m^0CR;1wuP-*O&G^0G}KYk!hp00i_>zopr08q^qX#fBK literal 0 HcmV?d00001 diff --git a/_static/plus.png b/_static/plus.png new file mode 100644 index 0000000000000000000000000000000000000000..7107cec93a979b9a5f64843235a16651d563ce2d GIT binary patch literal 90 zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu>-2 m3q%Vub%g%s<8sJhVPMczOq}xhg9DJoz~JfX=d#Wzp$Pyb1r*Kz literal 0 HcmV?d00001 diff --git a/_static/pygments.css b/_static/pygments.css new file mode 100644 index 00000000..04a41742 --- /dev/null +++ b/_static/pygments.css @@ -0,0 +1,84 @@ +pre { line-height: 125%; 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+ +/** + * Simple result scoring code. + */ +if (typeof Scorer === "undefined") { + var Scorer = { + // Implement the following function to further tweak the score for each result + // The function takes a result array [docname, title, anchor, descr, score, filename] + // and returns the new score. + /* + score: result => { + const [docname, title, anchor, descr, score, filename, kind] = result + return score + }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: { + 0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5, // used to be unimportantResults + }, + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + partialTitle: 7, + // query found in terms + term: 5, + partialTerm: 2, + }; +} + +// Global search result kind enum, used by themes to style search results. +class SearchResultKind { + static get index() { return "index"; } + static get object() { return "object"; } + static get text() { return "text"; } + static get title() { return "title"; } +} + +const _removeChildren = (element) => { + while (element && element.lastChild) element.removeChild(element.lastChild); +}; + +/** + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping + */ +const _escapeRegExp = (string) => + string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string + +const _displayItem = (item, searchTerms, highlightTerms) => { + const docBuilder = DOCUMENTATION_OPTIONS.BUILDER; + const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX; + const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX; + const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY; + const contentRoot = document.documentElement.dataset.content_root; + + const [docName, title, anchor, descr, score, _filename, kind] = item; + + let listItem = document.createElement("li"); + // Add a class representing the item's type: + // can be used by a theme's CSS selector for styling + // See SearchResultKind for the class names. + listItem.classList.add(`kind-${kind}`); + let requestUrl; + let linkUrl; + if (docBuilder === "dirhtml") { + // dirhtml builder + let dirname = docName + "/"; + if (dirname.match(/\/index\/$/)) + dirname = dirname.substring(0, dirname.length - 6); + else if (dirname === "index/") dirname = ""; + requestUrl = contentRoot + dirname; + linkUrl = requestUrl; + } else { + // normal html builders + requestUrl = contentRoot + docName + docFileSuffix; + linkUrl = docName + docLinkSuffix; + } + let linkEl = listItem.appendChild(document.createElement("a")); + linkEl.href = linkUrl + anchor; + linkEl.dataset.score = score; + linkEl.innerHTML = title; + if (descr) { + listItem.appendChild(document.createElement("span")).innerHTML = + " (" + descr + ")"; + // highlight search terms in the description + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + } + else if (showSearchSummary) + fetch(requestUrl) + .then((responseData) => responseData.text()) + .then((data) => { + if (data) + listItem.appendChild( + Search.makeSearchSummary(data, searchTerms, anchor) + ); + // highlight search terms in the summary + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + }); + Search.output.appendChild(listItem); +}; +const _finishSearch = (resultCount) => { + Search.stopPulse(); + Search.title.innerText = _("Search Results"); + if (!resultCount) + Search.status.innerText = Documentation.gettext( + "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories." + ); + else + Search.status.innerText = Documentation.ngettext( + "Search finished, found one page matching the search query.", + "Search finished, found ${resultCount} pages matching the search query.", + resultCount, + ).replace('${resultCount}', resultCount); +}; +const _displayNextItem = ( + results, + resultCount, + searchTerms, + highlightTerms, +) => { + // results left, load the summary and display it + // this is intended to be dynamic (don't sub resultsCount) + if (results.length) { + _displayItem(results.pop(), searchTerms, highlightTerms); + setTimeout( + () => _displayNextItem(results, resultCount, searchTerms, highlightTerms), + 5 + ); + } + // search finished, update title and status message + else _finishSearch(resultCount); +}; +// Helper function used by query() to order search results. +// Each input is an array of [docname, title, anchor, descr, score, filename, kind]. +// Order the results by score (in opposite order of appearance, since the +// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically. +const _orderResultsByScoreThenName = (a, b) => { + const leftScore = a[4]; + const rightScore = b[4]; + if (leftScore === rightScore) { + // same score: sort alphabetically + const leftTitle = a[1].toLowerCase(); + const rightTitle = b[1].toLowerCase(); + if (leftTitle === rightTitle) return 0; + return leftTitle > rightTitle ? -1 : 1; // inverted is intentional + } + return leftScore > rightScore ? 1 : -1; +}; + +/** + * Default splitQuery function. Can be overridden in ``sphinx.search`` with a + * custom function per language. + * + * The regular expression works by splitting the string on consecutive characters + * that are not Unicode letters, numbers, underscores, or emoji characters. + * This is the same as ``\W+`` in Python, preserving the surrogate pair area. + */ +if (typeof splitQuery === "undefined") { + var splitQuery = (query) => query + .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu) + .filter(term => term) // remove remaining empty strings +} + +/** + * Search Module + */ +const Search = { + _index: null, + _queued_query: null, + _pulse_status: -1, + + htmlToText: (htmlString, anchor) => { + const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html'); + for (const removalQuery of [".headerlink", "script", "style"]) { + htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() }); + } + if (anchor) { + const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`); + if (anchorContent) return anchorContent.textContent; + + console.warn( + `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.` + ); + } + + // if anchor not specified or not found, fall back to main content + const docContent = htmlElement.querySelector('[role="main"]'); + if (docContent) return docContent.textContent; + + console.warn( + "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template." + ); + return ""; + }, + + init: () => { + const query = new URLSearchParams(window.location.search).get("q"); + document + .querySelectorAll('input[name="q"]') + .forEach((el) => (el.value = query)); + if (query) Search.performSearch(query); + }, + + loadIndex: (url) => + (document.body.appendChild(document.createElement("script")).src = url), + + setIndex: (index) => { + Search._index = index; + if (Search._queued_query !== null) { + const query = Search._queued_query; + Search._queued_query = null; + Search.query(query); + } + }, + + hasIndex: () => Search._index !== null, + + deferQuery: (query) => (Search._queued_query = query), + + stopPulse: () => (Search._pulse_status = -1), + + startPulse: () => { + if (Search._pulse_status >= 0) return; + + const pulse = () => { + Search._pulse_status = (Search._pulse_status + 1) % 4; + Search.dots.innerText = ".".repeat(Search._pulse_status); + if (Search._pulse_status >= 0) window.setTimeout(pulse, 500); + }; + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch: (query) => { + // create the required interface elements + const searchText = document.createElement("h2"); + searchText.textContent = _("Searching"); + const searchSummary = document.createElement("p"); + searchSummary.classList.add("search-summary"); + searchSummary.innerText = ""; + const searchList = document.createElement("ul"); + searchList.setAttribute("role", "list"); + searchList.classList.add("search"); + + const out = document.getElementById("search-results"); + Search.title = out.appendChild(searchText); + Search.dots = Search.title.appendChild(document.createElement("span")); + Search.status = out.appendChild(searchSummary); + Search.output = out.appendChild(searchList); + + const searchProgress = document.getElementById("search-progress"); + // Some themes don't use the search progress node + if (searchProgress) { + searchProgress.innerText = _("Preparing search..."); + } + Search.startPulse(); + + // index already loaded, the browser was quick! + if (Search.hasIndex()) Search.query(query); + else Search.deferQuery(query); + }, + + _parseQuery: (query) => { + // stem the search terms and add them to the correct list + const stemmer = new Stemmer(); + const searchTerms = new Set(); + const excludedTerms = new Set(); + const highlightTerms = new Set(); + const objectTerms = new Set(splitQuery(query.toLowerCase().trim())); + splitQuery(query.trim()).forEach((queryTerm) => { + const queryTermLower = queryTerm.toLowerCase(); + + // maybe skip this "word" + // stopwords array is from language_data.js + if ( + stopwords.indexOf(queryTermLower) !== -1 || + queryTerm.match(/^\d+$/) + ) + return; + + // stem the word + let word = stemmer.stemWord(queryTermLower); + // select the correct list + if (word[0] === "-") excludedTerms.add(word.substr(1)); + else { + searchTerms.add(word); + highlightTerms.add(queryTermLower); + } + }); + + if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js + localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" ")) + } + + // console.debug("SEARCH: searching for:"); + // console.info("required: ", [...searchTerms]); + // console.info("excluded: ", [...excludedTerms]); + + return [query, searchTerms, excludedTerms, highlightTerms, objectTerms]; + }, + + /** + * execute search (requires search index to be loaded) + */ + _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + const allTitles = Search._index.alltitles; + const indexEntries = Search._index.indexentries; + + // Collect multiple result groups to be sorted separately and then ordered. + // Each is an array of [docname, title, anchor, descr, score, filename, kind]. + const normalResults = []; + const nonMainIndexResults = []; + + _removeChildren(document.getElementById("search-progress")); + + const queryLower = query.toLowerCase().trim(); + for (const [title, foundTitles] of Object.entries(allTitles)) { + if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) { + for (const [file, id] of foundTitles) { + const score = Math.round(Scorer.title * queryLower.length / title.length); + const boost = titles[file] === title ? 1 : 0; // add a boost for document titles + normalResults.push([ + docNames[file], + titles[file] !== title ? `${titles[file]} > ${title}` : title, + id !== null ? "#" + id : "", + null, + score + boost, + filenames[file], + SearchResultKind.title, + ]); + } + } + } + + // search for explicit entries in index directives + for (const [entry, foundEntries] of Object.entries(indexEntries)) { + if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) { + for (const [file, id, isMain] of foundEntries) { + const score = Math.round(100 * queryLower.length / entry.length); + const result = [ + docNames[file], + titles[file], + id ? "#" + id : "", + null, + score, + filenames[file], + SearchResultKind.index, + ]; + if (isMain) { + normalResults.push(result); + } else { + nonMainIndexResults.push(result); + } + } + } + } + + // lookup as object + objectTerms.forEach((term) => + normalResults.push(...Search.performObjectSearch(term, objectTerms)) + ); + + // lookup as search terms in fulltext + normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms)); + + // let the scorer override scores with a custom scoring function + if (Scorer.score) { + normalResults.forEach((item) => (item[4] = Scorer.score(item))); + nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item))); + } + + // Sort each group of results by score and then alphabetically by name. + normalResults.sort(_orderResultsByScoreThenName); + nonMainIndexResults.sort(_orderResultsByScoreThenName); + + // Combine the result groups in (reverse) order. + // Non-main index entries are typically arbitrary cross-references, + // so display them after other results. + let results = [...nonMainIndexResults, ...normalResults]; + + // remove duplicate search results + // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept + let seen = new Set(); + results = results.reverse().reduce((acc, result) => { + let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(','); + if (!seen.has(resultStr)) { + acc.push(result); + seen.add(resultStr); + } + return acc; + }, []); + + return results.reverse(); + }, + + query: (query) => { + const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query); + const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms); + + // for debugging + //Search.lastresults = results.slice(); // a copy + // console.info("search results:", Search.lastresults); + + // print the results + _displayNextItem(results, results.length, searchTerms, highlightTerms); + }, + + /** + * search for object names + */ + performObjectSearch: (object, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const objects = Search._index.objects; + const objNames = Search._index.objnames; + const titles = Search._index.titles; + + const results = []; + + const objectSearchCallback = (prefix, match) => { + const name = match[4] + const fullname = (prefix ? prefix + "." : "") + name; + const fullnameLower = fullname.toLowerCase(); + if (fullnameLower.indexOf(object) < 0) return; + + let score = 0; + const parts = fullnameLower.split("."); + + // check for different match types: exact matches of full name or + // "last name" (i.e. last dotted part) + if (fullnameLower === object || parts.slice(-1)[0] === object) + score += Scorer.objNameMatch; + else if (parts.slice(-1)[0].indexOf(object) > -1) + score += Scorer.objPartialMatch; // matches in last name + + const objName = objNames[match[1]][2]; + const title = titles[match[0]]; + + // If more than one term searched for, we require other words to be + // found in the name/title/description + const otherTerms = new Set(objectTerms); + otherTerms.delete(object); + if (otherTerms.size > 0) { + const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase(); + if ( + [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0) + ) + return; + } + + let anchor = match[3]; + if (anchor === "") anchor = fullname; + else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname; + + const descr = objName + _(", in ") + title; + + // add custom score for some objects according to scorer + if (Scorer.objPrio.hasOwnProperty(match[2])) + score += Scorer.objPrio[match[2]]; + else score += Scorer.objPrioDefault; + + results.push([ + docNames[match[0]], + fullname, + "#" + anchor, + descr, + score, + filenames[match[0]], + SearchResultKind.object, + ]); + }; + Object.keys(objects).forEach((prefix) => + objects[prefix].forEach((array) => + objectSearchCallback(prefix, array) + ) + ); + return results; + }, + + /** + * search for full-text terms in the index + */ + performTermsSearch: (searchTerms, excludedTerms) => { + // prepare search + const terms = Search._index.terms; + const titleTerms = Search._index.titleterms; + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + + const scoreMap = new Map(); + const fileMap = new Map(); + + // perform the search on the required terms + searchTerms.forEach((word) => { + const files = []; + const arr = [ + { files: terms[word], score: Scorer.term }, + { files: titleTerms[word], score: Scorer.title }, + ]; + // add support for partial matches + if (word.length > 2) { + const escapedWord = _escapeRegExp(word); + if (!terms.hasOwnProperty(word)) { + Object.keys(terms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: terms[term], score: Scorer.partialTerm }); + }); + } + if (!titleTerms.hasOwnProperty(word)) { + Object.keys(titleTerms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: titleTerms[term], score: Scorer.partialTitle }); + }); + } + } + + // no match but word was a required one + if (arr.every((record) => record.files === undefined)) return; + + // found search word in contents + arr.forEach((record) => { + if (record.files === undefined) return; + + let recordFiles = record.files; + if (recordFiles.length === undefined) recordFiles = [recordFiles]; + files.push(...recordFiles); + + // set score for the word in each file + recordFiles.forEach((file) => { + if (!scoreMap.has(file)) scoreMap.set(file, {}); + scoreMap.get(file)[word] = record.score; + }); + }); + + // create the mapping + files.forEach((file) => { + if (!fileMap.has(file)) fileMap.set(file, [word]); + else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word); + }); + }); + + // now check if the files don't contain excluded terms + const results = []; + for (const [file, wordList] of fileMap) { + // check if all requirements are matched + + // as search terms with length < 3 are discarded + const filteredTermCount = [...searchTerms].filter( + (term) => term.length > 2 + ).length; + if ( + wordList.length !== searchTerms.size && + wordList.length !== filteredTermCount + ) + continue; + + // ensure that none of the excluded terms is in the search result + if ( + [...excludedTerms].some( + (term) => + terms[term] === file || + titleTerms[term] === file || + (terms[term] || []).includes(file) || + (titleTerms[term] || []).includes(file) + ) + ) + break; + + // select one (max) score for the file. + const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w])); + // add result to the result list + results.push([ + docNames[file], + titles[file], + "", + null, + score, + filenames[file], + SearchResultKind.text, + ]); + } + return results; + }, + + /** + * helper function to return a node containing the + * search summary for a given text. keywords is a list + * of stemmed words. + */ + makeSearchSummary: (htmlText, keywords, anchor) => { + const text = Search.htmlToText(htmlText, anchor); + if (text === "") return null; + + const textLower = text.toLowerCase(); + const actualStartPosition = [...keywords] + .map((k) => textLower.indexOf(k.toLowerCase())) + .filter((i) => i > -1) + .slice(-1)[0]; + const startWithContext = Math.max(actualStartPosition - 120, 0); + + const top = startWithContext === 0 ? "" : "..."; + const tail = startWithContext + 240 < text.length ? "..." : ""; + + let summary = document.createElement("p"); + summary.classList.add("context"); + summary.textContent = top + text.substr(startWithContext, 240).trim() + tail; + + return summary; + }, +}; + +_ready(Search.init); diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js new file mode 100644 index 00000000..8a96c69a --- /dev/null +++ b/_static/sphinx_highlight.js @@ -0,0 +1,154 @@ +/* Highlighting utilities for Sphinx HTML documentation. */ +"use strict"; + +const SPHINX_HIGHLIGHT_ENABLED = true + +/** + * highlight a given string on a node by wrapping it in + * span elements with the given class name. + */ +const _highlight = (node, addItems, text, className) => { + if (node.nodeType === Node.TEXT_NODE) { + const val = node.nodeValue; + const parent = node.parentNode; + const pos = val.toLowerCase().indexOf(text); + if ( + pos >= 0 && + !parent.classList.contains(className) && + !parent.classList.contains("nohighlight") + ) { + let span; + + const closestNode = parent.closest("body, svg, foreignObject"); + const isInSVG = closestNode && closestNode.matches("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.classList.add(className); + } + + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + const rest = document.createTextNode(val.substr(pos + text.length)); + parent.insertBefore( + span, + parent.insertBefore( + rest, + node.nextSibling + ) + ); + node.nodeValue = val.substr(0, pos); + /* There may be more occurrences of search term in this node. So call this + * function recursively on the remaining fragment. + */ + _highlight(rest, addItems, text, className); + + if (isInSVG) { + const rect = document.createElementNS( + "http://www.w3.org/2000/svg", + "rect" + ); + const bbox = parent.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute("class", className); + addItems.push({ parent: parent, target: rect }); + } + } + } else if (node.matches && !node.matches("button, select, textarea")) { + node.childNodes.forEach((el) => _highlight(el, addItems, text, className)); + } +}; +const _highlightText = (thisNode, text, className) => { + let addItems = []; + _highlight(thisNode, addItems, text, className); + addItems.forEach((obj) => + obj.parent.insertAdjacentElement("beforebegin", obj.target) + ); +}; + +/** + * Small JavaScript module for the documentation. + */ +const SphinxHighlight = { + + /** + * highlight the search words provided in localstorage in the text + */ + highlightSearchWords: () => { + if (!SPHINX_HIGHLIGHT_ENABLED) return; // bail if no highlight + + // get and clear terms from localstorage + const url = new URL(window.location); + const highlight = + localStorage.getItem("sphinx_highlight_terms") + || url.searchParams.get("highlight") + || ""; + localStorage.removeItem("sphinx_highlight_terms") + url.searchParams.delete("highlight"); + window.history.replaceState({}, "", url); + + // get individual terms from highlight string + const terms = highlight.toLowerCase().split(/\s+/).filter(x => x); + if (terms.length === 0) return; // nothing to do + + // There should never be more than one element matching "div.body" + const divBody = document.querySelectorAll("div.body"); + const body = divBody.length ? divBody[0] : document.querySelector("body"); + window.setTimeout(() => { + terms.forEach((term) => _highlightText(body, term, "highlighted")); + }, 10); + + const searchBox = document.getElementById("searchbox"); + if (searchBox === null) return; + searchBox.appendChild( + document + .createRange() + .createContextualFragment( + '

' + + '' + + _("Hide Search Matches") + + "

" + ) + ); + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords: () => { + document + .querySelectorAll("#searchbox .highlight-link") + .forEach((el) => el.remove()); + document + .querySelectorAll("span.highlighted") + .forEach((el) => el.classList.remove("highlighted")); + localStorage.removeItem("sphinx_highlight_terms") + }, + + initEscapeListener: () => { + // only install a listener if it is really needed + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return; + if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) { + SphinxHighlight.hideSearchWords(); + event.preventDefault(); + } + }); + }, +}; + +_ready(() => { + /* Do not call highlightSearchWords() when we are on the search page. + * It will highlight words from the *previous* search query. + */ + if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords(); + SphinxHighlight.initEscapeListener(); +}); diff --git a/core.html b/core.html new file mode 100644 index 00000000..da1f961f --- /dev/null +++ b/core.html @@ -0,0 +1,120 @@ + + + + + + + + core module — aviary documentation + + + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +
+

core module¶

+
+ + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/docs/Makefile b/docs/Makefile deleted file mode 100644 index d4bb2cbb..00000000 --- a/docs/Makefile +++ /dev/null @@ -1,20 +0,0 @@ -# Minimal makefile for Sphinx documentation -# - -# You can set these variables from the command line, and also -# from the environment for the first two. -SPHINXOPTS ?= -SPHINXBUILD ?= sphinx-build -SOURCEDIR = . -BUILDDIR = _build - -# Put it first so that "make" without argument is like "make help". -help: - @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) - -.PHONY: help Makefile - -# Catch-all target: route all unknown targets to Sphinx using the new -# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). -%: Makefile - @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/conf.py b/docs/conf.py deleted file mode 100644 index 7de65d53..00000000 --- a/docs/conf.py +++ /dev/null @@ -1,35 +0,0 @@ -# Configuration file for the Sphinx documentation builder. -# -# For the full list of built-in configuration values, see the documentation: -# https://www.sphinx-doc.org/en/master/usage/configuration.html - -# -- Project information ----------------------------------------------------- -# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information -import os -import sys -sys.path.insert(0, os.path.abspath('../src/aviary')) - -project = 'aviary' -copyright = '2024, FutureHouse' -author = 'FutureHouse' - -# -- General configuration --------------------------------------------------- -# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration - -extensions = [ - 'sphinx.ext.autodoc', - 'sphinx.ext.napoleon', - 'sphinx.ext.viewcode', - 'sphinx.ext.autosummary', -] - -autosummary_generate = True - -templates_path = ['_templates'] -exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] - -# -- Options for HTML output ------------------------------------------------- -# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output - -html_theme = 'alabaster' -html_static_path = ['_static'] diff --git a/docs/make.bat b/docs/make.bat deleted file mode 100644 index 32bb2452..00000000 --- a/docs/make.bat +++ /dev/null @@ -1,35 +0,0 @@ -@ECHO OFF - -pushd %~dp0 - -REM Command file for Sphinx documentation - -if "%SPHINXBUILD%" == "" ( - set SPHINXBUILD=sphinx-build -) -set SOURCEDIR=. -set BUILDDIR=_build - -%SPHINXBUILD% >NUL 2>NUL -if errorlevel 9009 ( - echo. - echo.The 'sphinx-build' command was not found. Make sure you have Sphinx - echo.installed, then set the SPHINXBUILD environment variable to point - echo.to the full path of the 'sphinx-build' executable. Alternatively you - echo.may add the Sphinx directory to PATH. - echo. - echo.If you don't have Sphinx installed, grab it from - echo.https://www.sphinx-doc.org/ - exit /b 1 -) - -if "%1" == "" goto help - -%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% -goto end - -:help -%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% - -:end -popd diff --git a/env.html b/env.html new file mode 100644 index 00000000..d2666353 --- /dev/null +++ b/env.html @@ -0,0 +1,120 @@ + + + + + + + + env module — aviary documentation + + + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +
+

env module¶

+
+ + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/env_client.html b/env_client.html new file mode 100644 index 00000000..17f18c23 --- /dev/null +++ b/env_client.html @@ -0,0 +1,120 @@ + + + + + + + + env_client module — aviary documentation + + + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +
+

env_client module¶

+
+ + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/genindex.html b/genindex.html new file mode 100644 index 00000000..6e752358 --- /dev/null +++ b/genindex.html @@ -0,0 +1,158 @@ + + + + + + + Index — aviary documentation + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ + +

Index

+ +
+ E + | I + | M + | P + | U + +
+

E

+ + +
+ +

I

+ + +
+ +

M

+ + +
    +
  • + module + +
    • +
+ +

P

+ + +
+ +

U

+ + +
    +
  • + utils + +
    • +
+ + + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + +
+ + + + + + \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 00000000..111dadf1 --- /dev/null +++ b/index.html @@ -0,0 +1,122 @@ + + + + + + + + aviary documentation — aviary documentation + + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +
+

aviary documentation¶

+
+

Contents:

+ +
+
+ + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/main.html b/main.html new file mode 100644 index 00000000..9742dc2d --- /dev/null +++ b/main.html @@ -0,0 +1,120 @@ + + + + + + + + main module — aviary documentation + + + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +
+

main module¶

+
+ + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/message.html b/message.html new file mode 100644 index 00000000..197db248 --- /dev/null +++ b/message.html @@ -0,0 +1,120 @@ + + + + + + + + message module — aviary documentation + + + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +
+

message module¶

+
+ + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/modules.html b/modules.html new file mode 100644 index 00000000..d88471ee --- /dev/null +++ b/modules.html @@ -0,0 +1,143 @@ + + + + + + + + aviary — aviary documentation + + + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +
+

aviary¶

+
+ +
+
+ + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/objects.inv b/objects.inv new file mode 100644 index 00000000..c005ddac --- /dev/null +++ b/objects.inv @@ -0,0 +1,6 @@ +# Sphinx inventory version 2 +# Project: aviary +# Version: +# The remainder of this file is compressed using zlib. +xÚ’ÍNÄ …÷<‰nkœÄ¸˜7pa2‰@îÀ)‘Ÿèľ½À¥–£® +ç|çþ¤ÌI›È§åh½š òG>åaLÖÜ‘6Üó‘ŠNz…B[¸¢H^œ!âóS‰_f'“öŽú[RG!}ðùâPH0ιÛ?‚„¤Áˆ‹Òï‰ÜyL꨼ä×{uë‰Ó: Ý­‡ò•˜¢oˆF£KßȦ~Vªå®è´SøQSyE4%·ª”z)G¶a­xGÀMCXx6f›‹CY–YЮçËðê´,ƘÿÍ$©±Í_q¯~˜wZ†Õ Ô+½ šœ¢qׂ¤~zÖù£úiIcþ›»&ó'ô=H¡DsÛ!Èqß„4¢ßÈ?å½YòÞìF¯qäM ß YŸVOnoŽkûO )] \ No newline at end of file diff --git a/packages/gsm8k/README.md b/packages/gsm8k/README.md deleted file mode 100644 index 7c3cca83..00000000 --- a/packages/gsm8k/README.md +++ /dev/null @@ -1,32 +0,0 @@ -# aviary.gsm8k - -GSM8k environment implemented with aviary, -allowing agents to solve math word problems from the GSM8k dataset. - -## Citation - -The citation for GSM8k is given below: - -```bibtex -@article{gsm8k-paper, - title = {Training verifiers to solve math word problems}, - author = {Cobbe, Karl and Kosaraju, Vineet and Bavarian, Mohammad and Chen, Mark and Jun, Heewoo and Kaiser, Lukasz and - Plappert, Matthias and Tworek, Jerry and Hilton, Jacob and Nakano, Reiichiro and others}, - journal = {arXiv preprint arXiv:2110.14168}, - year = {2021} -} -``` - -## References - -[1] Cobbe, K., Kosaraju, V., Bavarian, M., Chen, M., Jun, H., Kaiser, L., Plappert, M., Tworek, J., Hilton, J., Nakano, -R. and Hesse, C., 2021. -[Training verifiers to solve math word problems](https://arxiv.org/abs/2110.14168). arXiv preprint arXiv:2110.14168. - -## Installation - -To install the GSM8k environment, run the following command: - -```bash -pip install fhaviary[gsm8k] -``` diff --git a/packages/gsm8k/pyproject.toml b/packages/gsm8k/pyproject.toml deleted file mode 100644 index 8492ef43..00000000 --- a/packages/gsm8k/pyproject.toml +++ /dev/null @@ -1,33 +0,0 @@ -[build-system] -build-backend = "setuptools.build_meta" -requires = ["setuptools>=64", "setuptools_scm>=8"] - -[project] -authors = [ - {email = "hello@futurehouse.org", name = "FutureHouse technical staff"}, -] -dependencies = [ - "datasets", - "fhaviary", - "pydantic~=2.0", -] -description = "GSM8k environment implemented with aviary" -dynamic = ["version"] -name = "aviary.gsm8k" -readme = "README.md" -requires-python = ">=3.11" - -[project.optional-dependencies] -typing = [ - "pandas-stubs", -] - -[tool.ruff] -extend = "../../pyproject.toml" - -[tool.setuptools.packages.find] -where = ["src"] - -[tool.setuptools_scm] -root = "../.." -version_file = "src/aviary/envs/gsm8k/version.py" diff --git a/packages/gsm8k/src/aviary/envs/gsm8k/__init__.py b/packages/gsm8k/src/aviary/envs/gsm8k/__init__.py deleted file mode 100644 index bac415fd..00000000 --- a/packages/gsm8k/src/aviary/envs/gsm8k/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .env import CalculatorEnv, CalculatorEnvConfig, GSM8kDataset, GSM8kDatasetSplit - -__all__ = ["CalculatorEnv", "CalculatorEnvConfig", "GSM8kDataset", "GSM8kDatasetSplit"] diff --git a/packages/gsm8k/src/aviary/envs/gsm8k/env.py b/packages/gsm8k/src/aviary/envs/gsm8k/env.py deleted file mode 100644 index 0e52763b..00000000 --- a/packages/gsm8k/src/aviary/envs/gsm8k/env.py +++ /dev/null @@ -1,245 +0,0 @@ -import contextlib -import json -from enum import StrEnum -from logging import getLogger -from typing import TYPE_CHECKING, ClassVar, Literal - -import datasets -from pydantic import BaseModel, ConfigDict - -from aviary.env import Environment, Frame, TaskDataset -from aviary.message import Message -from aviary.tools import Tool, ToolRequestMessage, ToolResponseMessage - -if TYPE_CHECKING: - import pandas as pd - -logger = getLogger(__name__) - - -class CalculatorEnvConfig(BaseModel): - model_config = ConfigDict(extra="forbid") - - correct_reward: float = 1.0 - incorrect_reward: float = 0.0 - tool_failure_reward: float = -1.0 - tool_success_reward: float = 0.0 - rel_tol: float = 1e-4 - - done_on_failure: bool = True - - -class CalculatorEnv(Environment[None]): - def __init__( - self, - problem_id: str, - problem: str, - answer: float, - config: CalculatorEnvConfig | None = None, - ): - # The problem is not part of the state because it is always the same. - # Putting it in the state would imply it is somehow affected by .step() - # or re-initialized by .reset(). - self.problem_id = problem_id - self.problem = problem - self.answer = float(answer) # If passed in as a 0d tensor # noqa: FURB123 - - self.config = config if config is not None else CalculatorEnvConfig() - - self.calc_tool = Tool.from_function(self.calculator) - self.check_tool = Tool.from_function(self.check_answer) - self.tools = [self.calc_tool, self.check_tool] - - @classmethod - def from_task(cls, task: str) -> "CalculatorEnv": - return cls(problem_id="task", problem=task, answer=0.0) - - async def reset(self) -> tuple[list[Message], list[Tool]]: - self.state = None # this environment is effectively stateless - return [Message(content=self.problem)], self.tools - - async def step( - self, action: ToolRequestMessage - ) -> tuple[list[Message], float, bool, bool]: - if not action.tool_calls: - return ( - [ - Message( - content=( - "Must call one of the provided tools (calculator or" - " check_answer)." - ) - ) - ], - self.config.tool_failure_reward, - self.config.done_on_failure, - False, - ) - - valid_action, invalid_action = self.filter_invalid_tool_calls(action) - - invalid_response_msgs = [ - ToolResponseMessage.from_call(tool_call, content="") - for tool_call in invalid_action.tool_calls - ] - - if valid_action.tool_calls: - results = await self.exec_tool_calls(valid_action) - response_msgs = [] - total_reward = 0.0 - any_done = False - - for tool_call, result in zip(valid_action.tool_calls, results, strict=True): - response, reward, done = json.loads(result.content) - - response_msgs.append( - ToolResponseMessage.from_call(tool_call, content=str(response)) - ) - - total_reward += reward - any_done |= done - - return response_msgs + invalid_response_msgs, total_reward, any_done, False - - return ( - invalid_response_msgs, - self.config.tool_failure_reward * len(invalid_response_msgs), - self.config.done_on_failure, - False, - ) - - def check_answer(self, answer: str) -> tuple[bool, float, Literal[True]]: - """Check if the proposed answer is correct. - - Args: - answer: Proposed answer. - - Returns: - Three-tuple of if correct, associated reward (correct_reward if correct, - tool_failure_reward if tool failure, otherwise incorrect_reward), and - True indicating done. - """ - try: - correct: bool = ( - abs(float(answer) - self.answer) - / (abs(self.answer) + self.config.rel_tol) - < self.config.rel_tol - ) - reward = ( - self.config.correct_reward if correct else self.config.incorrect_reward - ) - except ValueError: - return False, self.config.tool_failure_reward, True - else: - return correct, reward, True - - def calculator(self, expr: str) -> tuple[float | str | None, float, bool]: - """Calculate a mathematical expression. - - Args: - expr (str): A valid python expression - - Returns: - float: Result of the expression - """ - try: - expr = expr.strip() - result = eval(expr) # noqa: S307 # pylint: disable=eval-used - # logger.debug(f"{expr} = {result}") - with contextlib.suppress(ValueError): - if int(result) == result: - result = int(result) - - except Exception: - # msg = f"ERROR: ({expr}) -> {repr(e)}" - # logger.error(msg) - return ( - "Error using calculator", - self.config.tool_failure_reward, - self.config.done_on_failure, - ) - return result, self.config.tool_success_reward, False - - def export_frame(self) -> Frame: - return Frame( - state={ - "problem_id": self.problem_id, - "problem": self.problem, - "answer": self.answer, - } - ) - - -# SEE: https://huggingface.co/datasets/openai/gsm8k -GSM8K_PUBLIC_SOURCE = "openai/gsm8k" - - -class GSM8kDatasetSplit(StrEnum): - train_full = "train_full" # full training set from OpenAI - train = "train" # 80% of train_full (idx%5 != 0) - val = "val" # 20% of train_full (idx%5 == 0) - test = "test" - - def get_df_from_hf( - self, hf_source: str, add_metadata: bool = True - ) -> "pd.DataFrame": - # All non-test splits are derived from train - hf_split = "test" if self == self.test else "train" - - kw = {} - if hf_source == GSM8K_PUBLIC_SOURCE: - kw["name"] = "main" # as opposed to "socratic" - - src_df = ( - datasets.load_dataset(hf_source, split=hf_split, **kw) - .to_pandas() - .reset_index(drop=True) - ) - if self == self.train: - src_df = src_df[src_df.index % 5 != 0] - elif self == self.val: - src_df = src_df[src_df.index % 5 == 0] - if add_metadata: - # Assign problem ID for the env - src_df["problem_id"] = self.value + "_" + src_df.index.astype(str) - - # Attempt to extract a numerical answer - try: - src_df["answer_num"] = src_df["answer"].apply( - # answer is formatted as: \n#### - lambda a: float(a.split("#### ")[1].replace(",", "")) - ) - except Exception as e: - raise RuntimeError( - "Failed to extract numerical answer from 'answer' column" - ) from e - return src_df - - -class GSM8kDataset(TaskDataset): - Split: ClassVar = GSM8kDatasetSplit - - def __init__( - self, - split: GSM8kDatasetSplit | str, - config: CalculatorEnvConfig | dict | None = None, - hf_source: str = GSM8K_PUBLIC_SOURCE, - ): - if isinstance(config, dict): # Serialized config - config = CalculatorEnvConfig(**config) - elif config is None: - config = CalculatorEnvConfig() - self.config = config - self.src_df = GSM8kDatasetSplit(split).get_df_from_hf(hf_source) - - def get_new_env_by_idx(self, idx: int) -> CalculatorEnv: - row = self.src_df.iloc[idx] - return CalculatorEnv( - problem_id=row["problem_id"], - problem=row["question"], - answer=row["answer_num"], - config=self.config, - ) - - def __len__(self) -> int: - return len(self.src_df) diff --git a/packages/gsm8k/tests/test_gsm8k_env.py b/packages/gsm8k/tests/test_gsm8k_env.py deleted file mode 100644 index fd0a0e85..00000000 --- a/packages/gsm8k/tests/test_gsm8k_env.py +++ /dev/null @@ -1,59 +0,0 @@ -import pytest - -from aviary.core import Environment, TaskDataset, ToolCall, ToolRequestMessage -from aviary.envs.gsm8k import CalculatorEnv, CalculatorEnvConfig - - -@pytest.mark.asyncio -async def test_calculator_env() -> None: - problem = ( - "What is the answer to the ultimate question of life, the universe, and" - " everything?" - ) - answer = 42.0 - env = CalculatorEnv( - problem_id="douglas-adams", - problem=problem, - answer=answer, - config=CalculatorEnvConfig( - correct_reward=1e4, - ), - ) - - obs, tools = await env.reset() - assert obs[0].content == problem - assert len(tools) == 2 - - # Run calculator - response, reward, done, trunc = await env.step( - ToolRequestMessage(tool_calls=[ToolCall.from_tool(tools[0], expr="4-3")]) - ) - assert not done - assert reward == 0.0 - assert response[0].content == "1" - - # check answer - response, reward, done, trunc = await env.step( - ToolRequestMessage(tool_calls=[ToolCall.from_tool(tools[1], answer="42")]) - ) - assert reward == 1e4 - - -def test_loading_from_name() -> None: - env: CalculatorEnv = Environment.from_name( - "calculator", - problem_id="rhetorical", - problem="I had a cake and I ate it. How many cakes do I have?", - answer=0, - ) - assert isinstance(env, CalculatorEnv) - - -@pytest.mark.parametrize( - ("split", "first_answer"), - [("train", 10.0), ("train_full", 72.0), ("val", 72.0), ("test", 18.0)], -) -def test_loading_gsm8k_from_name(split: str, first_answer: float) -> None: - env = TaskDataset.from_name("gsm8k", split=split).get_new_env_by_idx(0) - assert isinstance(env, CalculatorEnv) - assert env.answer == first_answer diff --git a/packages/hotpotqa/README.md b/packages/hotpotqa/README.md deleted file mode 100644 index bb12e1ad..00000000 --- a/packages/hotpotqa/README.md +++ /dev/null @@ -1,21 +0,0 @@ -# aviary.hotpotqa - -HotPotQA environment implemented with aviary, -allowing agents to perform multi-hop question answering on the HotPotQA dataset. - -## References - -[1] Yang et al. [HotpotQA: A Dataset for Diverse, -Explainable Multi-Hop Question Answering](https://aclanthology.org/D18-1259/). EMNLP, 2018. - -[2] Yao et al., -[ReAct: Synergizing Reasoning and Acting in Language Models](https://openreview.net/forum?id=WE_vluYUL-X). -In The Eleventh International Conference on Learning Representations. 2023 - -## Installation - -To install the HotPotQA environment, run the following command: - -```bash -pip install fhaviary[hotpotqa] -``` diff --git a/packages/hotpotqa/pyproject.toml b/packages/hotpotqa/pyproject.toml deleted file mode 100644 index efe2aa62..00000000 --- a/packages/hotpotqa/pyproject.toml +++ /dev/null @@ -1,31 +0,0 @@ -[build-system] -build-backend = "setuptools.build_meta" -requires = ["setuptools>=64", "setuptools_scm>=8"] - -[project] -authors = [ - {email = "hello@futurehouse.org", name = "FutureHouse technical staff"}, -] -dependencies = [ - "beautifulsoup4", - "datasets", - "fhaviary", - "httpx", - "pydantic~=2.0", - "tenacity", -] -description = "HotPotQA environment implemented with aviary" -dynamic = ["version"] -name = "aviary.hotpotqa" -readme = "README.md" -requires-python = ">=3.11" - -[tool.ruff] -extend = "../../pyproject.toml" - -[tool.setuptools.packages.find] -where = ["src"] - -[tool.setuptools_scm] -root = "../.." -version_file = "src/aviary/envs/hotpotqa/version.py" diff --git a/packages/hotpotqa/src/aviary/envs/hotpotqa/__init__.py b/packages/hotpotqa/src/aviary/envs/hotpotqa/__init__.py deleted file mode 100644 index 28c7f160..00000000 --- a/packages/hotpotqa/src/aviary/envs/hotpotqa/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .env import HotPotQADataset, HotPotQAEnv, HotPotQAEnvConfig, HotPotQAEnvState - -__all__ = ["HotPotQADataset", "HotPotQAEnv", "HotPotQAEnvConfig", "HotPotQAEnvState"] diff --git a/packages/hotpotqa/src/aviary/envs/hotpotqa/env.py b/packages/hotpotqa/src/aviary/envs/hotpotqa/env.py deleted file mode 100644 index f35ee956..00000000 --- a/packages/hotpotqa/src/aviary/envs/hotpotqa/env.py +++ /dev/null @@ -1,576 +0,0 @@ -"""HotPotQA environment for aviary agents. - -Implements the HotPotQA multihop question-answering environment from: - -Yao et al., ReAct: Synergizing Reasoning and Acting in Language Models. -In The Eleventh International Conference on Learning Representations. 2023 - -Agents in the HotPotQA environment can perform searches and lookups to retrieve specific information. -The environment supports 3 tools: - -Search[entity]: Search for a specific entity on Wikipedia and return relevant information. -Lookup[keyword]: Find and return the next sentence containing the keyword in the current passage. -Finish[answer]: Submit the final answer to the question and conclude the task. -""" - -import logging -import random -import re -import string -from collections.abc import Callable -from enum import StrEnum -from typing import Any, ClassVar, cast - -import httpx -from bs4 import BeautifulSoup -from datasets import load_dataset -from pydantic import BaseModel, ConfigDict, Field -from tenacity import retry, stop_after_attempt, wait_exponential_jitter - -from aviary.env import Environment, Frame, TaskDataset -from aviary.message import Message -from aviary.tools import Tool, ToolRequestMessage, ToolResponseMessage - -logger = logging.getLogger(__name__) - - -# Jitter in case we have lots of requests at once, to space them out slightly -@retry(stop=stop_after_attempt(2), wait=wait_exponential_jitter(initial=1, max=4)) -async def fetch_with_retry( - client: httpx.AsyncClient, url: str, **kwargs -) -> httpx.Response: - response = await client.get(url, **kwargs) - if response.status_code == httpx.codes.TOO_MANY_REQUESTS: - response.raise_for_status() - return response - - -class HotPotQAEnvState(BaseModel): - """State of the HotPotQA environment.""" - - done: bool = Field( - default=False, - description="Flag for being done, automatically set true after many steps.", - ) - - steps: int = Field(default=0, description="Count of environment steps.") - - reward: float = Field( - default=0.0, description="Current reward value, reset each environment step." - ) - - answer: str | None = Field( - default=None, - description="The answer to the question, or None if not yet answered.", - ) - - last_lookup: str | None = Field( - default=None, description="The last lookup keyword." - ) - lookup_results: list[str] = Field( - default_factory=list, description="Results of the last lookup." - ) - lookup_index: int = Field( - default=0, description="Index of the last retrieved lookup result." - ) - page: str | None = Field(default=None, description="The current Wikipedia page.") - - -def create_tool(function: Callable, name: str) -> Tool: - """Create a Tool object from a function and set its name. - - Args: - function: The function to be wrapped by the Tool. - name: The name to assign to the Tool. - - Returns: - A Tool object with the specified function and name. - """ - tool = Tool.from_function(function) - tool.info.name = name - return tool - - -def clean_str(p: str) -> str: - r"""Clean and normalize a given string by encoding and decoding it. - - Args: - p: The input string to be cleaned and normalized. - - Returns: - The cleaned and normalized UTF-8 encoded string. - - Examples: - >>> clean_str("This is a test string with unicode escape: \\u00e9") - 'This is a test string with unicode escape: é' - >>> clean_str(r"SBN IT\ICCU\UBO\2771748.") # SEE: https://en.wikipedia.org/wiki/Tricolour_Day - 'SBN IT\\ICCU\\UBO\\2771748.' - """ - # Original source: - # https://github.com/ysymyth/ReAct/blob/6bdb3a1fd38b8188fc7ba4102969fe483df8fdc9/wikienv.py#L10-L11 - try: - # unicode-escape codec can interpret backslash escapes (e.g., `\n`, `\u1234`) - return ( - p.encode("latin1").decode("unicode-escape").encode("utf-8").decode("utf-8") - ) - except (UnicodeEncodeError, UnicodeDecodeError): - logger.debug(f"Replacing bad characters in input string {p!r}.") - return p.encode(errors="replace").decode("utf-8", errors="replace") - - -def normalize_answer(s: str | float) -> str: - """Normalize the given answer string by applying several text processing steps. - - This function processes the input string through a series of transformations to - normalize it, which includes: - 1. Convert all characters to lowercase. - 2. Remove punctuation from the text. - 3. Remove articles ('a', 'an', 'the') from the text. - 4. Fix extra whitespace by reducing multiple spaces to a single space. - - Args: - s: The input answer string to be normalized. - - Returns: - The normalized answer string. - - Example: - >>> normalize_answer("The Quick, Brown Fox!") - 'quick brown fox' - """ - # if s is not a string, convert it to a string - if not isinstance(s, str): - return str(s) - - def remove_articles(text: str) -> str: - """Remove articles ('a', 'an', 'the') from the text.""" - return re.sub(r"\b(a|an|the)\b", " ", text) - - def white_space_fix(text: str) -> str: - """Reduce multiple spaces to a single space.""" - return " ".join(text.split()) - - def remove_punc(text: str) -> str: - """Remove all punctuation from the text.""" - exclude = set(string.punctuation) - return "".join(ch for ch in text if ch not in exclude) - - def lower(text: str) -> str: - """Convert all characters to lowercase.""" - return text.lower() - - return white_space_fix(remove_articles(remove_punc(lower(s)))) - - -class HotPotQAEnv(Environment[HotPotQAEnvState]): - State: ClassVar = HotPotQAEnvState - wiki_cache: ClassVar[dict[str, str]] = {} - - def __init__( - self, - question: str, - correct_answer: str | float, - correct_reward: float = 1.0, - incorrect_reward: float = 0.0, - tool_failure_reward: float = 0.0, - proxy: str | None = None, - ): - super().__init__() - self.question = question - # Normalize the correct answer once here as a minor performance optimization - self.normalized_correct_answer = normalize_answer(correct_answer) - self.correct_reward = correct_reward - self.incorrect_reward = incorrect_reward - self.tool_failure_reward = tool_failure_reward - self.proxy = proxy - - # Title case tool names to match third party demonstration data - self.tools = [ - create_tool(self.search, "Search"), - create_tool(self.construct_lookup_list, "Lookup"), - create_tool(self.finish, "Finish"), - ] - - @classmethod - def from_task(cls, task: str) -> "HotPotQAEnv": - return cls(question=task, correct_answer=0.0) - - def calculate_reward(self, answer: str | None) -> float: - """Calculate the reward based on the agent's answer. - - Returns: - The correct reward if the agent's answer is correct (prediction exactly - matches ground truth), otherwise the incorrect reward. - """ - if answer is None: - return self.incorrect_reward - pred, gt = normalize_answer(answer), self.normalized_correct_answer - return self.correct_reward if pred == gt else self.incorrect_reward - - async def reset(self) -> tuple[list[Message], list[Tool]]: - """Reset the HotPotQA environment to an initial state. - - This method resets the environment to its initial state, setting up necessary variables and tools - for the agent to interact with. It prepares the environment for a new episode by initializing - various attributes and returning the initial observation and tools available for the agent. - - Returns: - tuple: A tuple containing: - - list[Message]: The initial observation wrapped in a Message object. - - list[Tool]: A list of tools (Search, Lookup, and Finish) available for the agent. - - Example: - >>> env = HotPotQAEnv() - >>> initial_obs, tools = env.reset(seed=42, idx=5) - >>> print(initial_obs) - [Message(content='Question: ')] - >>> print(tools) - [, , ] - """ - self.state = self.State() - return [Message(content=f"Question: {self.question}")], self.tools - - async def step( - self, action: ToolRequestMessage - ) -> tuple[list[Message], float, bool, bool]: - """Take a step in the environment. Assume only one tool at a time can be called for HotpotQA. - - This method processes an action message, which can be a tool request, a finish request, or an error message. - It updates the environment state accordingly and returns the observation and done status. - - Args: - action: Action to take. - - Returns: - Tuple[List[ToolResponseMessage], bool]: A tuple containing: - - list[ToolResponseMessage]: The response message(s) from the executed tool. - - bool: The done status indicating whether the episode is finished. - - Example: - >>> env = HotPotQAEnv() - >>> action = ToolRequestMessage( - ... tool_calls=[ - ... ToolCall( - ... function=ToolCallFunction(name="Search"), - ... arguments={"entity": "Python"}, - ... ) - ... ] - ... ) - >>> obs, done = await env.step(action) - >>> print(obs, done) - [ToolResponseMessage(name='Search', tool_call_id='tool_call_id', content='...')], False - """ - self.state.steps += 1 - if not action.tool_calls: - return ( - [ - Message( - content=( - "Must call one of the provided tools" - f" { {t.info.name for t in self.tools} }." - ) - ) - ], - self.tool_failure_reward, - self.state.done, - False, - ) - - # We accumulate reward across all tool calls in a step - self.state.reward = 0.0 - valid_action, invalid_action = self.filter_invalid_tool_calls(action) - # NOTE: valid_action or invalid_action may have an empty list of tool calls - response_messages = cast( - list[Message], - # Ordered since things like search -> lookup need to be run in order. - # NOTE: Handling tool exceptions here keeps the trajectory going, but I don't - # think the returned message is useful to the agent/learning. Disabling for now. - await self.exec_tool_calls( - valid_action, ordered=True, handle_tool_exc=False - ) - + [ - ToolResponseMessage.from_call(tool_call, content="Invalid tool call.") - for tool_call in invalid_action.tool_calls - ], - ) - return response_messages, self.state.reward, self.state.done, False - - def export_frame(self) -> Frame: - """Export the current state of the environment as a Frame object. - - This method creates and returns a Frame object that captures the current state and additional - information of the HotPotQA environment. This can be useful for logging, debugging, or visualization - purposes. - - Returns: - Frame: A Frame object containing the current state and additional information of the environment. - - The returned Frame object includes the following information: - - state (dict): An empty dictionary representing the current state of the environment. - - info (dict): A dictionary containing: - - "steps" (int): The number of steps taken in the current episode. - - "done" (bool): A flag indicating whether the episode is finished. - - "reward" (float): The accumulated reward in the current episode. - - "answer" (Optional[str]): The answer provided by the agent, if any. - - Example: - >>> env = HotPotQAEnv() - >>> frame = env.export_frame() - >>> print(frame.info) - {'steps': 0, 'done': False, 'reward': 0.0, 'answer': None} - """ - return Frame( - info={ - "steps": self.state.steps, - "done": self.state.done, - "reward": self.state.reward, - "answer": self.state.answer, - } - ) - - def finish(self, answer: str) -> str: - """Finish the episode. - - Args: - answer: The answer to the question. - """ - self.state.done = True - if not answer: - return "Finish failed. No answer provided." - - self.state.answer = answer - self.state.reward += self.calculate_reward(answer) - return "Finished." - - async def search(self, entity: str) -> str: - """Searches Wikipedia for the given entity and processes the results. - - Args: - entity: The entity to search for on Wikipedia. - - Functionality: - - Constructs and sends a search query to Wikipedia. - - Parses the search results. - - If similar results are found, returns a list of similar titles. - - If the entity page is found, returns a summary of the page content. - - Handles disambiguation pages by recursively searching with modified query. - """ - if not entity: - self.state.done = True - return "Search failed. No entity provided." - - # In case the searched entity is e.g. a year - search_entity = ( - str(entity) if isinstance(entity, int) else entity.replace(" ", "+") # type: ignore[redundant-expr,unreachable] # noqa: FURB123 - ) - try: - # Access from cache if we previously searched for search_entity - response_text = self.wiki_cache[search_entity] - except KeyError: - # follow_redirects=True because wikipedia frequently redirects to the correct page - async with httpx.AsyncClient( - follow_redirects=True, proxy=self.proxy - ) as client: - response = await fetch_with_retry( - client, - f"https://en.wikipedia.org/w/index.php?search={search_entity}", - timeout=15, - ) - response.raise_for_status() # Raise an HTTPError for bad responses - # Cache for subsequent tool calls - self.wiki_cache[search_entity] = response_text = response.text - soup = BeautifulSoup(response_text, features="html.parser") - result_divs = soup.find_all("div", {"class": "mw-search-result-heading"}) - if result_divs: # mismatch - result_titles = [clean_str(div.get_text().strip()) for div in result_divs] - self.state.page = None - return f"Could not find {entity}. Similar: {result_titles[:5]}." - - page = [p.get_text().strip() for p in soup.find_all("p") + soup.find_all("ul")] - if any("may refer to:" in p for p in page): # Recurse - return await self.search(entity="[" + entity + "]") - # Clean up any unicode - self.state.page = "" - for p in page: - if len(p.split(" ")) > 2: # noqa: PLR2004 - self.state.page += clean_str(p) - if not p.endswith("\n"): - self.state.page += "\n" - # Extract and concatenate the first five sentences from the provided page content. - obs_list = [ - s.strip() + "." - for p in self.state.page.split("\n") - if p.strip() - for s in p.split(". ") - if s.strip() - ] - return " ".join(obs_list[:5]) - - def construct_lookup_list(self, keyword: str) -> str: - """Construct a list of sentences from the given page content that contain the specified keyword. - - Args: - keyword: The keyword to search for within the sentences. - - Returns: - A list of sentences containing the keyword. If `page` is None or empty, an empty list is returned. - - Example: - page_content = ("Milhouse Mussolini Van Houten is a recurring character in the Fox animated television series - The Simpsons voiced by Pamela Hayden and created by Matt Groening. Milhouse is Bart Simpson's best friend in - Mrs. Krabappel's fourth grade class at Springfield Elementary School. He is an insecure, gullible, and - less popular child than Bart who is often led into trouble by Bart, who takes advantage of his friend's naivety. - Milhouse is a regular target for school bully Nelson Muntz and his friends Jimbo Jones, Dolph Starbeam and - Kearney Zzyzwicz. Milhouse has a crush on Bart's sister, Lisa, a common plot element.") - - keyword = "Milhouse" - result = construct_lookup_list_from_page(keyword, page_content) - # Output: ['Milhouse Mussolini Van Houten is a recurring character in the Fox animated television series The - Simpsons.', - 'Milhouse is Bart Simpson's best friend in Mrs. Krabappel's fourth grade class at Springfield Elementary - School.', - 'Milhouse is a regular target for school bully Nelson Muntz and his friends Jimbo Jones, Dolph Starbeam and - Kearney Zzyzwicz.', - 'Milhouse has a crush on Bart's sister, Lisa, a common plot element.'] - - """ - if not keyword: - self.state.done = True - return "Lookup failed. No keyword provided" - - if not self.state.page: - return "Lookup failed. You have not specified a Wikipedia page yet." - - if self.state.last_lookup != keyword: - self.state.last_lookup = keyword - self.state.lookup_results = [ - s.strip() + "." - for s in self.state.page.split(". ") - if s.strip() and keyword.lower() in s.lower() - ] - self.state.lookup_index = 0 - - if self.state.lookup_index >= len(self.state.lookup_results): - return "No more results." - - obs = ( - f"(Result {self.state.lookup_index + 1} / {len(self.state.lookup_results)})" - f" {self.state.lookup_results[self.state.lookup_index]}" - ) - self.state.lookup_index += 1 - return obs - - -class HotPotQADifficultyLevel(StrEnum): - EASY = "easy" - MEDIUM = "medium" - HARD = "hard" - - -class HotPotQAEnvConfig(BaseModel): - """Configuration model for the HotPotQA environment. - - This defines the configuration parameters for setting up the HotPotQA environment, - including the path to the data repository and the specific path to the prompt file. - """ - - model_config = ConfigDict(extra="forbid") - - shuffle_data: bool = Field( - default=False, description="Set True to shuffle the dataset after loading." - ) - data_fraction: float = Field( - default=1.0, - description=( - "Fraction of data to use, default is full dataset. If set, data is" - " subsampled after shuffling (if enabled)." - ), - gt=0.0, - le=1.0, - ) - correct_reward: float = 1.0 - incorrect_reward: float = 0.0 - tool_failure_reward: float = 0.0 - difficulty_level: set[HotPotQADifficultyLevel] | None = Field( - None, - description=( - "The HotPotQA difficulty level to filter on. " - "Can be any subset of `{'easy', 'medium', 'hard'}`. " - "If None, we will not filter any task instances. " - "Note that not all splits have a 'level' field." - ), - ) - proxy: str | None = None - - -class HotPotQADataset(TaskDataset[HotPotQAEnv]): - # SEE: https://huggingface.co/datasets/hotpotqa/hotpot_qa - HOTPOTQA_HUGGING_FACE_DATASET = "hotpotqa/hotpot_qa" - - def get_data_from_hugging_face( - self, split: str, hf_dataset: str = HOTPOTQA_HUGGING_FACE_DATASET - ) -> list[tuple[str, str]]: - """Convert a local file and split to a list of (question, answer) tuples.""" - if split in {"dev", "eval", "val"}: # Map common aliases - split = "validation" - all_datasets = load_dataset(hf_dataset, name="fullwiki", trust_remote_code=True) - try: - data = all_datasets[split].select_columns( - column_names=["question", "answer", "level"] - ) - except KeyError as exc: - raise ValueError( - f"Split {split!r} was invalid for Hugging Face dataset {hf_dataset}," - f" please specify a split from {set(all_datasets.keys())}." - ) from exc - - if not all( # Making up for datasets not being typed: https://github.com/huggingface/datasets/issues/3841 - isinstance(d["question"], str) and isinstance(d["answer"], str | float) - for d in data - ): - raise ValueError( - f"Dataset {hf_dataset!r} and split {split!r} contains invalid" - " question(s) or answer(s)." - ) - return [(d["question"], d["answer"]) for d in data if self._filter_task(d)] - - def __init__( - self, split: str, config: HotPotQAEnvConfig | dict | None = None, **kwargs - ): - super().__init__() - if isinstance(config, dict): # Serialized config - config = HotPotQAEnvConfig(**(config | kwargs)) - elif config is None: - config = HotPotQAEnvConfig(**kwargs) - self.config = config - raw_data = self.get_data_from_hugging_face(split) - if self.config.shuffle_data: - random.shuffle(raw_data) - if self.config.data_fraction < 1.0: - raw_data = raw_data[: int(self.config.data_fraction * len(raw_data))] - self.data = raw_data - - def _filter_task(self, task: dict[str, Any]) -> bool: - """Decide whether to keep a task instance based on configuration options.""" - if self.config.difficulty_level is None: - return True - - try: - return task["level"] in self.config.difficulty_level - except KeyError as e: - raise RuntimeError( - "Attempting to filter difficulty level, " - "but this split does not have a 'level' field." - ) from e - - def get_new_env_by_idx(self, idx: int) -> HotPotQAEnv: - return HotPotQAEnv( - *self.data[idx], - correct_reward=self.config.correct_reward, - incorrect_reward=self.config.incorrect_reward, - tool_failure_reward=self.config.tool_failure_reward, - proxy=self.config.proxy, - ) - - def __len__(self) -> int: - return len(self.data) diff --git a/packages/hotpotqa/src/aviary/envs/hotpotqa/py.typed b/packages/hotpotqa/src/aviary/envs/hotpotqa/py.typed deleted file mode 100644 index e69de29b..00000000 diff --git a/packages/hotpotqa/tests/test_hotpotqa_env.py b/packages/hotpotqa/tests/test_hotpotqa_env.py deleted file mode 100644 index 76afcbc1..00000000 --- a/packages/hotpotqa/tests/test_hotpotqa_env.py +++ /dev/null @@ -1,29 +0,0 @@ -import pytest - -from aviary.core import Environment, TaskDataset -from aviary.envs.hotpotqa import HotPotQAEnv - - -def test_env_construction() -> None: - hotpotqa_env: HotPotQAEnv = Environment.from_name( - "hotpotqa", - question=( - "What is the formula for the volume of Abraham Lincoln's favorite hat?" - ), - correct_answer="pi*r^2*h", - ) - assert isinstance(hotpotqa_env, HotPotQAEnv) - - -def test_dataset_from_name() -> None: - dataset = TaskDataset.from_name("hotpotqa", split="dev") - assert isinstance(dataset.get_new_env_by_idx(0), HotPotQAEnv) - - # double-check we can load by difficulty level - dataset = TaskDataset.from_name( - "hotpotqa", split="train", difficulty_level={"easy", "hard"} - ) - assert len(dataset) == 33633 - - with pytest.raises(ValueError, match="answer"): - TaskDataset.from_name("hotpotqa", split="test") diff --git a/py-modindex.html b/py-modindex.html new file mode 100644 index 00000000..9985c320 --- /dev/null +++ b/py-modindex.html @@ -0,0 +1,121 @@ + + + + + + + Python Module Index — aviary documentation + + + + + + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ + +

Python Module Index

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+ u +
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+ u
+ utils +
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+ +
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+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + +
+ + + + + + \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml deleted file mode 100644 index 9b3d1b7e..00000000 --- a/pyproject.toml +++ /dev/null @@ -1,437 +0,0 @@ -[build-system] -build-backend = "setuptools.build_meta" -requires = ["setuptools>=64", "setuptools_scm>=8"] - -[project] -authors = [ - {email = "hello@futurehouse.org", name = "FutureHouse technical staff"}, -] -# Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers -classifiers = [ - "Operating System :: OS Independent", - "Programming Language :: Python :: 3 :: Only", - "Programming Language :: Python :: 3.11", - "Programming Language :: Python :: 3.12", - "Programming Language :: Python", -] -dependencies = [ - "docstring_parser>=0.16", # Pin for description addition - "httpx", - "pydantic~=2.0", -] -description = "Gymnasium framework for training language model agents on constructive tasks" -dynamic = ["version"] -license = {file = "LICENSE"} -name = "fhaviary" -readme = "README.md" -requires-python = ">=3.11" - -[project.optional-dependencies] -cloud = [ - "boto3", -] -dev = [ - "SQLAlchemy[aiosqlite]~=2.0", # Match aviary dependencies - "aviary.gsm8k[typing]", - "aviary.hotpotqa", - "fhaviary[image,llm,server,typing,xml]", - "ipython>=8", # Pin to keep recent - "mypy>=1.8", # Pin for mutable-override - "pre-commit>=3.4", # Pin to keep recent - "pydantic~=2.9", # Pydantic 2.9 changed JSON schema exports 'allOf', so ensure tests match - "pylint-pydantic", - "pylint>=3.2", # Pin to keep recent - "pytest-asyncio", - "pytest-recording", - "pytest-subtests", - "pytest-sugar", - "pytest-timer[colorama]", - "pytest-xdist", - "pytest>=8", # Pin to keep recent - "refurb>=2", # Pin to keep recent - "typeguard", -] -gsm8k = ["aviary.gsm8k"] -hotpotqa = ["aviary.hotpotqa"] -image = [ - "Pillow", -] -llm = [ - "litellm", -] -paperqa = ["paper-qa"] -server = [ - "click", - "cloudpickle", - "fastapi", - "uvicorn", -] -typing = [ - "boto3-stubs[s3]", - "numpy", - "types-Pillow", -] -xml = [ - "dicttoxml", -] - -[project.scripts] -aviary = "aviary.main:cli" - -[project.urls] -issues = "https://github.com/Future-House/aviary/issues" -repository = "https://github.com/Future-House/aviary" - -[tool.black] -preview = true - -[tool.codeflash] -disable-imports-sorting = true -disable-telemetry = true -formatter-cmds = ["ruff check --exit-zero --fix $file", "ruff format $file"] -module-root = "src/aviary" -test-framework = "pytest" -tests-root = "tests" - -[tool.codespell] -check-filenames = true -check-hidden = true -ignore-words-list = "astroid,ser" - -[tool.mypy] -# Type-checks the interior of functions without type annotations. -check_untyped_defs = true -# Allows enabling one or multiple error codes globally. Note: This option will -# override disabled error codes from the disable_error_code option. -enable_error_code = [ - "ignore-without-code", - "mutable-override", - "redundant-cast", - "redundant-expr", - "redundant-self", - "truthy-bool", - "truthy-iterable", - "unimported-reveal", - "unreachable", - "unused-ignore", -] -# Shows a short summary line after error messages. -error_summary = false -# A regular expression that matches file names, directory names and paths which mypy -# should ignore while recursively discovering files to check. Use forward slashes (/) as -# directory separators on all platforms. -exclude = [ - "^\\.?venv", # SEE: https://regex101.com/r/0rp5Br/1 -] -# This flag tells mypy that top-level packages will be based in either the current -# directory, or a member of the MYPYPATH environment variable or mypy_path config -# option. This option is only useful in the absence of __init__.py. See Mapping file -# paths to modules for details. -explicit_package_bases = true -# Specifies the OS platform for the target program, for example darwin or win32 -# (meaning OS X or Windows, respectively). The default is the current platform -# as revealed by Python’s sys.platform variable. -platform = "linux" -# Comma-separated list of mypy plugins. -plugins = ["pydantic.mypy"] -# Use visually nicer output in error messages: use soft word wrap, show source -# code snippets, and show error location markers. -pretty = true -# Shows column numbers in error messages. -show_column_numbers = true -# Shows error codes in error messages. -# SEE: https://mypy.readthedocs.io/en/stable/error_codes.html#error-codes -show_error_codes = true -# Prefixes each error with the relevant context. -show_error_context = true -# Warns about casting an expression to its inferred type. -warn_redundant_casts = true -# Shows a warning when encountering any code inferred to be unreachable or -# redundant after performing type analysis. -warn_unreachable = true -# Warns about per-module sections in the config file that do not match any -# files processed when invoking mypy. -warn_unused_configs = true -# Warns about unneeded `# type: ignore` comments. -warn_unused_ignores = true - -[[tool.mypy.overrides]] -# Suppresses error messages about imports that cannot be resolved. -ignore_missing_imports = true -# Per-module configuration options -module = [ - "datasets", # SEE: https://github.com/huggingface/datasets/issues/3841 - "dicttoxml", # SEE: https://github.com/quandyfactory/dicttoxml/issues/106 -] - -[tool.pylint] - -[tool.pylint.design] -# Maximum number of attributes for a class (see R0902). -max-attributes = 12 - -[tool.pylint.format] -# Maximum number of characters on a single line. -max-line-length = 88 # Match ruff line-length - -[tool.pylint.main] -# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the -# number of processors available to use, and will cap the count on Windows to -# avoid hangs. -jobs = 0 -# List of plugins (as comma separated values of python module names) to load, -# usually to register additional checkers. -load-plugins = [ - "pylint_pydantic", -] - -[tool.pylint.messages_control] -# Disable the message, report, category or checker with the given id(s). -disable = [ - "arguments-differ", # Ops intentionally differ arguments - "attribute-defined-outside-init", # Disagrees with reset pattern - "bare-except", # Rely on ruff E722 for this - "broad-exception-caught", # Don't care to enforce this - "broad-exception-raised", # Rely on ruff TRY002 for this - "cyclic-import", # Let Python blow up - "expression-not-assigned", # Rely on mypy func-returns-value for this - "fixme", # codetags are useful - "function-redefined", # Rely on mypy no-redef for this - "import-outside-toplevel", # Rely on ruff PLC0415 for this - "invalid-name", # Don't care to enforce this - "line-too-long", # Rely on ruff E501 for this - "logging-fstring-interpolation", # f-strings are convenient - "logging-too-many-args", # Rely on ruff PLE1205 for this - "missing-docstring", # Let docformatter and ruff take care of docstrings - "missing-final-newline", # Rely on ruff W292 for this - "no-else-return", # Rely on ruff RET506 for this - "no-member", # Buggy, SEE: https://github.com/pylint-dev/pylint/issues/8138 - "not-callable", # Don't care to enforce this - "protected-access", # Don't care to enforce this - "raise-missing-from", # Rely on ruff B904 for this - "redefined-builtin", # Rely on ruff A002 for this - "super-init-not-called", # Don't care to enforce this - "too-few-public-methods", # Don't care to enforce this - "too-many-ancestors", # Don't care to enforce this - "too-many-arguments", # Don't care to enforce this - "too-many-branches", # Rely on ruff PLR0912 for this - "too-many-instance-attributes", # Don't care to enforce this - "too-many-lines", # Don't care to enforce this - "too-many-locals", # Rely on ruff PLR0914 for this - "too-many-positional-arguments", # Don't care to enforce this - "too-many-return-statements", # Rely on ruff PLR0911 for this - "too-many-statements", # Rely on ruff PLR0915 for this - "ungrouped-imports", # Rely on ruff I001 for this - "unspecified-encoding", # Don't care to enforce this - "unsubscriptable-object", # Buggy, SEE: https://github.com/PyCQA/pylint/issues/3637 - "unsupported-membership-test", # Buggy, SEE: https://github.com/pylint-dev/pylint/issues/3045 - "unused-argument", # Rely on ruff ARG002 for this - "unused-import", # Rely on ruff F401 for this - "unused-variable", # Rely on ruff F841 for this - "wrong-import-order", # Rely on ruff I001 for this -] -# Enable the message, report, category or checker with the given id(s). -enable = [ - "useless-suppression", # Print unused `pylint: disable` comments -] - -[tool.pylint.reports] -# Set true to activate the evaluation score. -score = false - -[tool.pylint.similarities] -# Minimum lines number of a similarity. -min-similarity-lines = 12 - -[tool.pytest.ini_options] -# Add the specified OPTS to the set of command line arguments as if they had been -# specified by the user. -addopts = "--typeguard-packages=aviary --doctest-modules" -# Sets a list of filters and actions that should be taken for matched warnings. -# By default all warnings emitted during the test session will be displayed in -# a summary at the end of the test session. -filterwarnings = [ - "ignore:Support for class-based `config` is deprecated, use ConfigDict instead", # SEE: https://github.com/BerriAI/litellm/issues/5648 - 'ignore:open_text is deprecated. Use files\(\) instead:DeprecationWarning', # SEE: https://github.com/BerriAI/litellm/issues/5647 -] -# List of directories that should be searched for tests when no specific directories, -# files or test ids are given in the command line when executing pytest from the rootdir -# directory. File system paths may use shell-style wildcards, including the recursive ** -# pattern. -testpaths = ["packages/gsm8k/tests", "packages/hotpotqa/tests", "src", "tests"] - -[tool.refurb] -enable_all = true -ignore = [ - "FURB101", # FURB101, FURB103, FURB141, FURB144, FURB146, FURB147, FURB150, FURB155: no need for pathlib - "FURB103", - "FURB141", - "FURB144", - "FURB146", - "FURB147", - "FURB150", - "FURB155", -] - -[tool.ruff] -# Line length to use when enforcing long-lines violations (like `E501`). -line-length = 88 -# The minimum Python version to target, e.g., when considering automatic code -# upgrades, like rewriting type annotations. Ruff will not propose changes -# using features that are not available in the given version. -target-version = "py311" -# Enable application of unsafe fixes. -unsafe-fixes = true - -[tool.ruff.format] -# Enable reformatting of code snippets in docstrings. -docstring-code-format = true -# Enable preview style formatting. -preview = true - -[tool.ruff.lint] -explicit-preview-rules = true -extend-select = [ - "C420", - "DOC202", - "DOC403", - "FURB110", - "FURB113", - "FURB116", - "FURB131", - "FURB132", - "FURB140", - "FURB142", - "FURB145", - "FURB148", - "FURB152", - "FURB154", - "FURB156", - "FURB157", - "FURB164", - "FURB166", - "FURB171", - "FURB180", - "FURB188", - "FURB192", - "PLR6104", - "PLR6201", - "PLW0108", - "RUF022", -] -external = [ - "FURB", # refurb -] -# List of rule codes that are unsupported by Ruff, but should be preserved when -# (e.g.) validating # noqa directives. Useful for retaining # noqa directives -# that cover plugins not yet implemented by Ruff. -ignore = [ - "ANN", # Don't care to enforce typing - "ARG002", # Thrown all the time when we are subclassing - "ARG003", # Thrown all the time when we are subclassing - "ASYNC109", # Buggy, SEE: https://github.com/astral-sh/ruff/issues/12353 - "BLE001", # Don't care to enforce blind exception catching - "COM812", # Trailing comma with black leads to wasting lines - "D100", # D100, D101, D102, D103, D104, D105, D106, D107: don't always need docstrings - "D101", - "D102", - "D103", - "D104", - "D105", - "D106", - "D107", - "D203", # Keep docstring next to the class definition (covered by D211) - "D212", # Summary should be on second line (opposite of D213) - "D402", # It's nice to reuse the method name - "D406", # Google style requires ":" at end - "D407", # We aren't using numpy style - "D413", # Blank line after last section. -> No blank line - "DTZ", # Don't care to have timezone safety - "E501", # Overly pedantic for Tool.__doc__ - "EM", # Overly pedantic - "ERA001", # Don't care to prevent commented code - "FBT001", # FBT001, FBT002: overly pedantic - "FBT002", - "FIX", # Don't care to prevent TODO, FIXME, etc. - "FLY002", # Can be less readable - "G004", # f-strings are convenient - "INP001", # Can use namespace packages - "ISC001", # For ruff format compatibility - "N803", # Allow matching math formula names/conventions - "N806", # Allow matching math formula names/conventions - "PLC0415", # Don't care to prevent imports outside of top-level - "PLR0912", # Allow us to have lots of branches - "PLR0913", - "PLW2901", # Allow modifying loop variables - "PTH", # Overly pedantic - "S101", # Don't care to prevent asserts - "S105", # Duplicates Yelp/detect-secrets in pre-commit - "S311", # Ok to use python random - "SLF001", # Overly pedantic - "T201", # Overly pedantic - "TCH001", # TCH001, TCH002, TCH003: don't care to enforce type checking blocks - "TCH002", - "TCH003", - "TD002", # Don't care for TODO author - "TD003", # Don't care for TODO links - "TRY003", # Overly pedantic - "W505", # Overly pedantic for Tool.__doc__ -] -preview = true -select = ["ALL"] -unfixable = [ - "B007", # While debugging, unused loop variables can be useful - "B905", # Default fix is zip(strict=False), but that can hide bugs - "ERA001", # While debugging, temporarily commenting code can be useful - "F401", # While debugging, unused imports can be useful - "F841", # While debugging, unused locals can be useful -] - -[tool.ruff.lint.flake8-annotations] -mypy-init-return = true - -[tool.ruff.lint.per-file-ignores] -"**/tests/*.py" = [ - "F841", # Tests can have unused locals - "N802", # Tests function names can match class names - "PLR2004", # Tests can have magic values -] - -[tool.ruff.lint.pycodestyle] -# The maximum line length to allow for line-length violations within -# documentation (W505), including standalone comments. -max-doc-length = 120 # Match line-length -# The maximum line length to allow for line-too-long violations. By default, -# this is set to the value of the line-length option. -max-line-length = 120 - -[tool.ruff.lint.pydocstyle] -# Whether to use Google-style or NumPy-style conventions or the PEP257 -# defaults when analyzing docstring sections. -convention = "google" - -[tool.setuptools.packages.find] -where = ["src"] - -[tool.setuptools_scm] -version_file = "src/aviary/version.py" - -[tool.tomlsort] -all = true -in_place = true -spaces_before_inline_comment = 2 # Match Python PEP 8 -spaces_indent_inline_array = 4 # Match Python PEP 8 -trailing_comma_inline_array = true - -[tool.uv] -dev-dependencies = [ - "fhaviary[dev]", -] - -[tool.uv.sources] -"aviary.gsm8k" = {workspace = true} -"aviary.hotpotqa" = {workspace = true} -fhaviary = {workspace = true} - -[tool.uv.workspace] -members = ["packages/*"] diff --git a/render.html b/render.html new file mode 100644 index 00000000..5d7cf740 --- /dev/null +++ b/render.html @@ -0,0 +1,120 @@ + + + + + + + + render module — aviary documentation + + + + + + + + + + + + + + + + + + + + +
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render module¶

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Search

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+ Searching for multiple words only shows matches that contain + all words. +

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TASK_DATASET_REGISTRY, - DummyEnv, - DummyEnvState, - DummyTaskDataset, - Environment, - Frame, - TaskConfig, - TaskDataset, -) -from aviary.env_client import EnvironmentClient -from aviary.message import MalformedMessageError, Message, join -from aviary.render import Renderer -from aviary.tools import ( - INVALID_TOOL_NAME, - FunctionInfo, - Messages, - MessagesAdapter, - Parameters, - Tool, - ToolCall, - ToolCallFunction, - ToolRequestMessage, - ToolResponseMessage, - Tools, - ToolsAdapter, - ToolSelector, - ToolSelectorLedger, - argref_by_name, - eval_answer, - wraps_doc_only, -) -from aviary.utils import encode_image_to_base64, is_coroutine_callable, partial_format - -__all__ = [ - "INVALID_TOOL_NAME", - "TASK_DATASET_REGISTRY", - "DummyEnv", - "DummyEnvState", - "DummyTaskDataset", - "Environment", - "EnvironmentClient", - "Frame", - "FunctionInfo", - "MalformedMessageError", - "Message", - "Messages", - "MessagesAdapter", - "Parameters", - "Renderer", - "TaskConfig", - "TaskDataset", - "Tool", - "ToolCall", - "ToolCallFunction", - "ToolRequestMessage", - "ToolResponseMessage", - "ToolSelector", - "ToolSelectorLedger", - "Tools", - "ToolsAdapter", - "argref_by_name", - "encode_image_to_base64", - "eval_answer", - "is_coroutine_callable", - "join", - "partial_format", - "wraps_doc_only", -] diff --git a/src/aviary/env.py b/src/aviary/env.py deleted file mode 100644 index dfacda2b..00000000 --- a/src/aviary/env.py +++ /dev/null @@ -1,490 +0,0 @@ -from __future__ import annotations - -import asyncio -import importlib -import inspect -import json -import logging -import random -from abc import ABC, abstractmethod -from collections.abc import Iterator -from copy import deepcopy -from typing import Annotated, Generic, Self, TypeAlias, TypeVar, cast - -from pydantic import ( - BaseModel, - ConfigDict, - Field, - JsonValue, - ValidationInfo, - WrapSerializer, - field_validator, -) - -from aviary.message import Message -from aviary.tools import Tool, ToolCall, ToolRequestMessage, ToolResponseMessage -from aviary.utils import is_coroutine_callable - -logger = logging.getLogger(__name__) - -# TODO: make TypeVar after https://github.com/pydantic/pydantic/milestone/13 -# NOTE: can't use pydantic.JsonValue here because it will deep copy all the way -# down JSON, and we want to support shallow copying capability -Serializable: TypeAlias = dict | list | int | float | str | bool | BaseModel - - -class Frame(BaseModel): - """A frame is a snapshot at a given timestep. The name comes from video frame.""" - - deepcopy: bool = Field( - default=True, - description=( - "Whether to deepcopy the state and info fields. " - "Disable if you're sure they're immutable or desire mutability." - ), - ) - - @staticmethod - def _custom_serializer(value: Serializable, handler, info): # noqa: ARG004 - if isinstance(value, BaseModel): - return value.model_dump() - return handler(value) - - state: Annotated[Serializable | None, WrapSerializer(_custom_serializer)] = Field( - default=None, - description=( - "Either entire (or a subset of) the current state. Leave as default of None" - " if state is irrelevant." - ), - ) - info: Annotated[Serializable | None, WrapSerializer(_custom_serializer)] = Field( - default=None, description="Optional metadata that doesn't vary with state." - ) - - @field_validator("state", "info") - @classmethod - def make_deepcopy(cls, v: Serializable, info: ValidationInfo) -> Serializable: - if info.data["deepcopy"]: - return deepcopy(v) - return v - - -# NOTE: setting to None means there is no state -TEnvState = TypeVar("TEnvState") - - -class Environment(ABC, Generic[TEnvState]): - """ - An environment is a stateful place where agents use tools and make observations. - - Tools are housed in the environment because they can interact with the environment. - - Environments (and their contained tools) are not trainable. - """ - - tools: list[Tool] - state: TEnvState - - @abstractmethod - async def step( - self, action: ToolRequestMessage - ) -> tuple[list[Message], float, bool, bool]: - """Take a step in the environment. - - Args: - action: Action to take. - - Returns: - Four-tuple of new observations, instantaneous reward for this action, a flag - symbolizing if the episode is done, and a flag symbolizing if the - episode was truncated (e.g. via early stopping). - """ - - @abstractmethod - async def reset(self) -> tuple[list[Message], list[Tool]]: - """ - Reset the environment and collect initial observation(s). - - Possible observations could be instructions on how tools are related, - or the goal of the environment. - - Returns: - Two-tuple of initial observations and tools. - """ - - def filter_invalid_tool_calls( - self, message: ToolRequestMessage - ) -> tuple[ToolRequestMessage, ToolRequestMessage]: - """Split a list of tool calls into valid and invalid subsets. - - Args: - message: Tool request message containing tool calls. - - Returns: - Two-tuple of ToolRequestMessage containing valid messages and - ToolRequestMessage containing invalid messages - """ - valid, invalid = [], [] - for tool_call in message.tool_calls: - tool_used_in_tool_call = next( - (t for t in self.tools if t.info.name == tool_call.function.name), None - ) - if tool_used_in_tool_call is not None: - valid.append(tool_call) - else: - invalid.append(tool_call) - return cast( - tuple[ToolRequestMessage, ToolRequestMessage], - tuple( - ToolRequestMessage( - role=message.role, - content=message.content, - function_call=message.function_call, - tool_calls=x, - ) - for x in (valid, invalid) - ), - ) - - async def exec_tool_calls( - self, - message: ToolRequestMessage, - ordered: bool = False, - handle_tool_exc: bool = False, - **function_kwargs, - ) -> list[ToolResponseMessage]: - """ - Execute an ordered list of tool calls. - - Args: - message: ToolRequestMessage containing the tool calls. - ordered: Opt-in flag for forcing sequential execution (according to order - in the above message), otherwise tool calls are made concurrently. - handle_tool_exc: Opt-in flag to suppress Exceptions and return them as a - ToolResponseMessage. - **function_kwargs: Keyword arguments to pass to all tool functions. - - Returns: - Ordered list of ToolResponseMessages, order matches the order of tool calls - in the input message. - """ - - async def _exec_tool_call(tool_call: ToolCall) -> ToolResponseMessage: - try: - tool = next( - t for t in self.tools if t.info.name == tool_call.function.name - ) - except StopIteration as exc: - raise ValueError( - f"{tool_call.function.name!r} not a valid name in" - f" { {t.info.name for t in self.tools} }." - ) from exc - # we do a special convenience to make - # state be optional in the function signature - need_to_filter = ( - "state" in function_kwargs - and "state" not in inspect.signature(tool._tool_fn).parameters - and not hasattr(tool._tool_fn, "requires_state") - ) - filtered_kwargs = ( - {k: v for k, v in function_kwargs.items() if k != "state"} - if need_to_filter - else function_kwargs - ) - tool_exc: Exception | None = None - try: - if is_coroutine_callable(tool._tool_fn): - content = await tool._tool_fn( - **tool_call.function.arguments, **filtered_kwargs - ) - else: - # If the function is synchronous, run on a thread - content = await asyncio.to_thread( - tool._tool_fn, - **tool_call.function.arguments, - **filtered_kwargs, - ) - except Exception as exc: - if not handle_tool_exc: - raise - logger_msg = ( - f"Encountered exception during tool call for tool {tool.info.name}:" - f" {exc!r}" - ) - # logger.exception is just too verbose and clogs up console logging. This is a - # more human-friendly version: log a readable error message and emit the exception - # at DEBUG level. - logger.error(logger_msg) # noqa: TRY400 - logger.debug(str(exc), exc_info=True) - tool_exc = exc - if tool_exc: - # No need to mention tool.info.name here, since it'll get wrapped in a ToolResponseMessage - s_content = f"Encountered exception during tool call: {tool_exc}" - elif isinstance(content, str): - s_content = content - elif isinstance(content, BaseModel): - s_content = content.model_dump_json(exclude_none=True, by_alias=True) - else: # Fallback when content is another type, or None - s_content = json.dumps(content) - return ToolResponseMessage.from_call(tool_call, content=s_content) - - if not ordered: - return await asyncio.gather( - *(_exec_tool_call(tool_call) for tool_call in message.tool_calls) - ) - return [await _exec_tool_call(tool_call) for tool_call in message.tool_calls] - - def export_frame(self) -> Frame: - """ - Export a snapshot of the environment as a Frame for visualization or debugging. - - If you are not sure what to put in the Frame, just give it the entire state. - See the Frame class itself for more information. - """ - return Frame() - - async def close(self) -> None: - """ - Shutdown the environment. - - If this is unimplemented, __del__ will manage cleanup. - """ - - @classmethod - def from_task(cls, task: str) -> Self: - """Create an environment from a task description. - - A task is meant to be closer to a user prompt - like what you would expect - in calling an LLM. This is how the environment should be used after training - and in deployment. We don't take config here, because the default environment config - should be general for arbitrary tasks. - - For example, with GSM8k/calculator: "What is 18 * (number of legs on a cat) / moons of mars?" - """ - raise NotImplementedError(f"{cls.__name__} does not implement from_task") - - @classmethod - def from_name(cls, name: str, task: str | None = None, **env_kwargs) -> Self: - """Create an environment from the name of the class. Call `Environment.available()` to see list.""" - new_cls = _get_cls_from_name(ENV_REGISTRY, name) - if task is not None: - if env_kwargs: - raise ValueError("Cannot pass both a task and environment kwargs.") - return new_cls.from_task(task) - return new_cls(**env_kwargs) - - @classmethod - def available(cls) -> set[str]: - """See list of available environment classes for `from_name`. - - This is not exhaustive, because some may be importable and so you should just - try to call `from_name`. This is more for logging/debugging purposes. - """ - return set(ENV_REGISTRY.keys()) - - -# Maps baseline environment names to their module and class names -ENV_REGISTRY: dict[str, tuple[str, str]] = { - "dummy": ("aviary.env", "DummyEnv"), - "calculator": ("aviary.envs.gsm8k.env", "CalculatorEnv"), - "hotpotqa": ("aviary.envs.hotpotqa.env", "HotPotQAEnv"), -} - -TEnvironment = TypeVar("TEnvironment", bound=Environment) - - -class TaskDataset(ABC, Generic[TEnvironment]): - """A base class for a dataset of tasks as environments. - - Examples of task datasets: GSM8k, HotPotQA, etc. - These are related environments instances with different problem - specifications and reward conditions. - """ - - @classmethod - def from_name(cls, name: str, **env_kwargs) -> TaskDataset: - return _get_cls_from_name(TASK_DATASET_REGISTRY, name)(**env_kwargs) - - def __len__(self) -> int: - raise TypeError(f'"Object of type {self.__class__.__name__}" has no len()') - - def get_new_env_by_idx(self, idx: int) -> TEnvironment: - """Get an env from a finite dataset.""" - raise NotImplementedError( - f'"{self.__class__.__name__}" does not implement get_new_env_by_idx' - ) - - def get_new_env(self) -> TEnvironment: - """Get an env from a non-indexable dataset.""" - raise NotImplementedError( - f'"{self.__class__.__name__}" does not implement get_new_env' - ) - - def iter_batches( - self, batch_size: int, shuffle: bool = False - ) -> Iterator[list[TEnvironment]]: - """Construct batches from this dataset. - - Args: - batch_size: Size of each batch. - Note that if this dataset's size is finite and isn't evenly divisible by - this value, the last yielded batch will be smaller than batch_size. - shuffle: Opt-in flag to shuffle without replacement. - - Yields: - An iterator over batches of environments. - """ - try: - n = len(self) - except TypeError: - # not a finite-length dataset, so construct an infinite iter - while True: - yield [self.get_new_env() for _ in range(batch_size)] - else: - # finite-length dataset - idcs = list(range(n)) - if shuffle: - random.shuffle(idcs) - - while idcs: - batch_idcs = idcs[:batch_size] - idcs = idcs[batch_size:] - yield [self.get_new_env_by_idx(idx) for idx in batch_idcs] - - -# Maps baseline task dataset names to their module and class names -TASK_DATASET_REGISTRY: dict[str, tuple[str, str]] = { - "dummy": ("aviary.env", "DummyTaskDataset"), - "gsm8k": ("aviary.envs.gsm8k.env", "GSM8kDataset"), - "hotpotqa": ("aviary.envs.hotpotqa.env", "HotPotQADataset"), -} - - -class TaskConfig(BaseModel): - """Convenience for making a config file entry for a TaskDataset.""" - - model_config = ConfigDict(extra="forbid") - - name: str - task_kwargs: dict[str, BaseModel | JsonValue] = Field( - default_factory=dict, description="Arguments to pass to TaskDataset.from_name()" - ) - train_kwargs: dict[str, BaseModel | JsonValue] = Field( - default_factory=dict, description="Additional arguments for the training split." - ) - eval_kwargs: dict[str, BaseModel | JsonValue] = Field( - default_factory=dict, - description="Additional arguments for the evaluation split.", - ) - test_kwargs: dict[str, BaseModel | JsonValue] = Field( - default_factory=dict, description="Additional arguments for the test split." - ) - - def make_dataset(self, split: str) -> TaskDataset: - if split == "train": - split_kw = self.task_kwargs | self.train_kwargs - elif split == "eval": - split_kw = self.task_kwargs | self.eval_kwargs - elif split == "test": - split_kw = self.task_kwargs | self.test_kwargs - else: - raise NotImplementedError(f"Didn't handle split {split!r}.") - return TaskDataset.from_name(self.name, **split_kw) - - -class DummyEnvState(BaseModel): - messages: list[Message] - reward: float = 0 - done: bool = False - - -class DummyEnv(Environment[DummyEnvState]): - """Simple Environment with basic functionality and no network usage.""" - - State = DummyEnvState - - def __init__(self, task: str | None = None, end_immediately: bool = True): - self.end_immediately = end_immediately - self.task = task - - @classmethod - def from_task(cls, task: str) -> DummyEnv: - return cls(task=task) - - async def step( - self, action: ToolRequestMessage - ) -> tuple[list[Message], float, bool, bool]: - msgs: list[Message] = await self.exec_tool_calls(action, state=self.state) - self.state.messages.extend(msgs) - return msgs, self.state.reward, self.state.done, False - - async def reset(self) -> tuple[list[Message], list[Tool]]: - def print_story(story: str, state: DummyEnvState) -> None: # noqa: ARG001 - """Print a story. - - Args: - story: Story to print. - state: Environment state. - """ - state.reward = 1 - state.done = self.end_immediately - - def cast_float(x: str) -> float: - """Cast the input argument x to a float.""" - return float(x) - - def cast_int(x: float) -> int: - """Cast the input argument x to an integer.""" - return int(x) - - self.tools = [ - Tool.from_function(print_story), - Tool.from_function(cast_float, allow_empty_param_descriptions=True), - Tool.from_function(cast_int, allow_empty_param_descriptions=True), - ] - self.state = type(self).State( - messages=[ - Message( - content="Write a 5 word story via print_story" - + (f" about {self.task}" if self.task else "") - ) - ], - ) - return self.state.messages, self.tools - - def export_frame(self) -> Frame: - return Frame( - state={"messages": [m.content for m in self.state.messages]}, - info={ - "tool_names": [t.info.name for t in self.tools], - "done": self.state.done, - "reward": self.state.reward, - }, - ) - - -class DummyTaskDataset(TaskDataset[DummyEnv]): - """A dummy task of infinite DummyEnvs.""" - - def get_new_env(self) -> DummyEnv: - return DummyEnv() - - def __bool__(self) -> bool: - return True - - -def _get_cls_from_name(registry: dict[str, tuple[str, str]], name: str): - try: - module_name, cls_name = registry[name] - except KeyError: - raise ValueError(f"Unknown environment name: {name}") from None - - try: - module = importlib.import_module(module_name) - except ImportError: - # TODO: before release: add install instructions per env? - raise ImportError( - f"Could not import env from {module_name}; you need to install it." - ) from None - - return getattr(module, cls_name) diff --git a/src/aviary/env_client.py b/src/aviary/env_client.py deleted file mode 100644 index eda6ea7e..00000000 --- a/src/aviary/env_client.py +++ /dev/null @@ -1,58 +0,0 @@ -from abc import ABC, abstractmethod -from typing import Any - -import httpx - -from aviary.env import Environment, TEnvState -from aviary.message import Message -from aviary.tools import MessagesAdapter, Tool, ToolRequestMessage, ToolsAdapter - - -class EnvironmentClient(Environment[TEnvState], ABC): - def __init__( - self, - reset_endpoint_url: str, - step_endpoint_url: str, - request_params: httpx._types.QueryParamTypes | None = None, - request_headers: httpx._types.HeaderTypes | None = None, - request_timeout: float | None = None, - ): - self._reset_request_url = reset_endpoint_url - self._step_request_url = step_endpoint_url - self._request_params = request_params - self._request_headers = request_headers - self._request_timeout = request_timeout - - async def reset(self) -> tuple[list[Message], list[Tool]]: - async with httpx.AsyncClient() as client: - response = await client.post( - self._reset_request_url, - json=self._make_post_json(self.state), - params=self._request_params, - headers=self._request_headers, - timeout=self._request_timeout, - ) - response.raise_for_status() - msgs, tools = response.json() - return MessagesAdapter.validate_python(msgs), ToolsAdapter.validate_python( - tools - ) - - async def step( - self, action: ToolRequestMessage - ) -> tuple[list[Message], float, bool, bool]: - async with httpx.AsyncClient() as client: - response = await client.post( - self._step_request_url, - json=self._make_post_json(self.state) | {"action": action.model_dump()}, - params=self._request_params, - headers=self._request_headers, - timeout=self._request_timeout, - ) - response.raise_for_status() - messages, reward, done, truncated = response.json() - return MessagesAdapter.validate_python(messages), reward, done, truncated - - @abstractmethod - def _make_post_json(self, state: TEnvState) -> dict[str, Any]: - """Extract values from state to sent as JSON for all reset/step POSTs.""" diff --git a/src/aviary/main.py b/src/aviary/main.py deleted file mode 100644 index 03fc4c0d..00000000 --- a/src/aviary/main.py +++ /dev/null @@ -1,47 +0,0 @@ -import asyncio -import os - -try: - import click - import uvicorn -except ImportError as e: - raise ImportError( - "CLI requires the 'server' extra for 'aviary'. Please:" - " `pip install aviary[server]`." - ) from e - -from aviary.env import Environment -from aviary.tools.server import make_tool_server - - -# this enables sub commands for the CLI -# so we can call `aviary tools` to start the tool server -# rather than aviary-tools or something -@click.group() -def cli(): - pass - - -@cli.command() -@click.argument("env") -@click.option("--host", default="localhost") -@click.option("--port", default=8000) -@click.option("--token", default="secret") -def tools(env: str, host: str, port: int, token: str): - if not os.environ.get("AUTH_TOKEN"): - os.environ["AUTH_TOKEN"] = token - - # use empty task to trigger - # an empty task/no problem - def env_factory(): - return Environment.from_name(env, task="") - - app = asyncio.run(make_tool_server(env_factory)) - click.echo( - f"View tools at http://{host}:{port}/docs and log in with token {token!r}" - ) - uvicorn.run(app, host=host, port=port) - - -if __name__ == "__main__": - cli() diff --git a/src/aviary/message.py b/src/aviary/message.py deleted file mode 100644 index a9ae66b1..00000000 --- a/src/aviary/message.py +++ /dev/null @@ -1,168 +0,0 @@ -from __future__ import annotations - -import json -from collections.abc import Iterable -from typing import TYPE_CHECKING, ClassVar, Self - -from pydantic import BaseModel, Field, field_validator, model_validator - -from aviary.utils import encode_image_to_base64 - -if TYPE_CHECKING: - from logging import LogRecord - - import numpy as np - - -class Message(BaseModel): - DEFAULT_ROLE: ClassVar[str] = "user" - VALID_ROLES: ClassVar[set[str]] = { - DEFAULT_ROLE, - "system", - "tool", - "assistant", - "function", # Prefer 'tool' - } - - role: str = Field( - default=DEFAULT_ROLE, - description="Message role matching OpenAI's role conventions.", - ) - content: str | None = Field( - default=None, - description=( - "Optional message content. Can be a string or a dictionary or None. " - "If a dictionary (for multimodal content), it will be JSON serialized. " - "None is a sentinel value for the absence of content " - "(different than empty string)." - ), - ) - content_is_json_str: bool = Field( - default=False, - description=( - "Whether the content is JSON-serialized (e.g., for multiple modalities)." - ), - exclude=True, - repr=False, - ) - - info: dict | None = Field( - default=None, - description="Optional metadata about the message.", - exclude=True, - repr=False, - ) - - @field_validator("role") - @classmethod - def check_role(cls, v: str) -> str: - if v not in cls.VALID_ROLES: - raise ValueError(f"Role {v} was not in {cls.VALID_ROLES}.") - return v - - @model_validator(mode="before") - @classmethod - def serialize_content(cls, data): - if isinstance(data, dict) and "content" in data: - content = data["content"] - if content is not None and not isinstance(content, str): - try: - data["content"] = json.dumps(content) - data["content_is_json_str"] = True - except TypeError as e: - raise ValueError( - "Content must be a string or JSON-serializable." - ) from e - return data - - def __str__(self) -> str: - return self.content or "" - - def model_dump(self, *args, **kwargs) -> dict: - dump = super().model_dump(*args, **kwargs) - if self.content_is_json_str: - dump["content"] = json.loads(dump["content"]) - return dump - - def append_text( - self, text: str, delim: str = "\n", inplace: bool = True - ) -> Message: - """Append text to the content. - - Args: - text: The text to append. - delim: The delimiter to use when concatenating strings. - inplace: Whether to modify the message in place. - - Returns: - The modified message. Note that the original message is modified and returned - if `inplace=True` and a new message is returned otherwise. - """ - if not self.content: - new_content = text - elif self.content_is_json_str: - try: - content_list = json.loads(self.content) - if not isinstance(content_list, list): - raise TypeError("JSON content is not a list.") - content_list.append({"type": "text", "text": text}) - new_content = json.dumps(content_list) - except json.JSONDecodeError as e: - raise ValueError("Content is not valid JSON.") from e - else: - new_content = f"{self.content}{delim}{text}" - if inplace: - self.content = new_content - return self - return self.model_copy(update={"content": new_content}, deep=True) - - @classmethod - def create_message( - cls, - role: str = DEFAULT_ROLE, - text: str | None = None, - image: np.ndarray | None = None, - ) -> Self: - # Assume no image, and update to image if present - content: str | list[dict] | None = text - if image is not None: - content = [ - { - "type": "image_url", - "image_url": {"url": encode_image_to_base64(image)}, - } - ] - if text is not None: - content.append({"type": "text", "text": text}) - return cls(role=role, content=content) - - -def join( - msgs: Iterable[Message], delimiter: str = "\n", include_roles: bool = True -) -> str: - return delimiter.join( - f"{f'{m.role}: ' if include_roles else ''}{m.content or ''}" for m in msgs - ) - - -class MalformedMessageError(ValueError): - """Error to throw if some aspect of a Message variant is malformed.""" - - @classmethod - def common_retryable_errors_log_filter(cls, record: LogRecord) -> bool: - """ - Filter out common parsing failures not worth looking into from logs. - - Returns: - False if the LogRecord should be filtered out, otherwise True to keep it. - """ - # NOTE: match both this Exception type's name and its content, to be robust - return not all(x in record.msg for x in (cls.__name__, EMPTY_CONTENT_BASE_MSG)) - - -class EnvStateMessage(Message): - """A message that contains the current state of the environment.""" - - -# Define separately so we can filter out this message type -EMPTY_CONTENT_BASE_MSG = "No content in message" diff --git a/src/aviary/py.typed b/src/aviary/py.typed deleted file mode 100644 index e69de29b..00000000 diff --git a/src/aviary/render.py b/src/aviary/render.py deleted file mode 100644 index e9d6dfa8..00000000 --- a/src/aviary/render.py +++ /dev/null @@ -1,130 +0,0 @@ -import json -import logging -import os -import shutil -from pathlib import Path -from typing import Any -from uuid import UUID, uuid4 - -from pydantic import BaseModel, Field, field_validator - -from aviary.env import Frame - -try: - from boto3 import client -except ImportError: - client = None # type: ignore[assignment] - -logger = logging.getLogger(__name__) - - -class Renderer(BaseModel): - id: UUID | int | str = Field( - default_factory=lambda: str(uuid4()).replace("-", "")[:16] - ) - frames: list[Frame] = [] - prefix: str - name: str = Field( - default="Trajectory", - description="Name of the renderer, used in the manifest file.", - ) - - @field_validator("prefix") - @classmethod - def check_prefix_is_alphanum(cls, v: str) -> str: - if not v.isalnum(): - raise ValueError("Prefix must be an alphanumeric string") - return v - - def append(self, frame: Frame) -> None: - self.frames.append(frame) - - def _make_filename(self, index: int) -> str: - return f"{self.prefix}_{self.id!s}_{index}.json" - - def _render(self) -> dict[str, dict[str, Any]]: - """Get a mapping of filenames to serialized frame with renderer metadata.""" - return { - self._make_filename(i): frame.model_dump() - | { - "index": i + 1, - "prev_frame": self._make_filename(i - 1) if i > 0 else None, - "next_frame": ( - self._make_filename(i + 1) if i + 1 < len(self.frames) else None - ), - } - for i, frame in enumerate(self.frames) - } - - def build( # noqa: C901 - self, - build_dir: str | os.PathLike, - indent: int = 4, - r2_bucket: str | None = None, - extra_files: list[str | os.PathLike] | None = None, - ) -> None: - name_to_data = self._render() - if not name_to_data: - logger.warning("No frames to render.") - return - build_dir_path = Path(build_dir) - file_list = [] - for name, data in name_to_data.items(): - path = build_dir_path / name - path.parent.mkdir(parents=True, exist_ok=True) - with path.open("w") as f: - json.dump(data, f, indent=indent) - file_list.append(name) - - # now write manifest (summary) file, and we know name exists - # because we check name_to_data has values - # pylint: disable-next=undefined-loop-variable - first_name, last_name = next(iter(name_to_data.keys())), name - # NOTE: we have the '-info' prefix so that we can use a prefix-filter - manifest_fn = f"{self.prefix}_info_{self.id!s}.json" - with (build_dir_path / manifest_fn).open("w") as f: - json.dump( - {"name": self.name, "first": first_name, "last": last_name}, - f, - indent=indent, - ) - file_list.append(manifest_fn) - - # copy the extra files - if extra_files: - for p in extra_files: - path = Path(p) - output_path = build_dir_path / path.name - output_path.parent.mkdir(parents=True, exist_ok=True) - try: - shutil.copyfile(path, output_path) - file_list.append(output_path.name) - except FileNotFoundError: - logger.warning(f"Failed to copy file from {path} to {output_path}.") - - if r2_bucket: # Upload to bucket - try: - CF_ACCOUNT_ID = os.environ["CF_ACCOUNT_ID"] - CF_ACCESS_KEY_ID = os.environ["CF_ACCESS_KEY_ID"] - CF_SECRET_ACCESS_KEY = os.environ["CF_SECRET_ACCESS_KEY"] - if not (CF_ACCOUNT_ID and CF_ACCESS_KEY_ID and CF_SECRET_ACCESS_KEY): - raise ValueError("Empty Cloudflare R2 credentials") # noqa: TRY301 - except (KeyError, ValueError) as exc: - raise ValueError("Cloudflare R2 credentials unset.") from exc - try: - s3 = client( - service_name="s3", - endpoint_url=f"https://{CF_ACCOUNT_ID}.r2.cloudflarestorage.com", - aws_access_key_id=CF_ACCESS_KEY_ID, - aws_secret_access_key=CF_SECRET_ACCESS_KEY, - region_name="auto", - ) - except TypeError: - raise ImportError( - "Bucket uploads requires the 'cloud' extra for 'boto3'. Please:" - " `pip install aviary[cloud]`." - ) from None - - for fn in file_list: - with (build_dir_path / fn).open("rb") as d: - s3.upload_fileobj(d, r2_bucket, fn) diff --git a/src/aviary/tools/__init__.py b/src/aviary/tools/__init__.py deleted file mode 100644 index 3efd4d7e..00000000 --- a/src/aviary/tools/__init__.py +++ /dev/null @@ -1,37 +0,0 @@ -from .argref import argref_by_name -from .base import ( - INVALID_TOOL_NAME, - FunctionInfo, - Messages, - MessagesAdapter, - Parameters, - Tool, - ToolCall, - ToolCallFunction, - ToolRequestMessage, - ToolResponseMessage, - Tools, - ToolsAdapter, - wraps_doc_only, -) -from .utils import ToolSelector, ToolSelectorLedger, eval_answer - -__all__ = [ - "INVALID_TOOL_NAME", - "FunctionInfo", - "Messages", - "MessagesAdapter", - "Parameters", - "Tool", - "ToolCall", - "ToolCallFunction", - "ToolRequestMessage", - "ToolResponseMessage", - "ToolSelector", - "ToolSelectorLedger", - "Tools", - "ToolsAdapter", - "argref_by_name", - "eval_answer", - "wraps_doc_only", -] diff --git a/src/aviary/tools/argref.py b/src/aviary/tools/argref.py deleted file mode 100644 index 17a7db84..00000000 --- a/src/aviary/tools/argref.py +++ /dev/null @@ -1,358 +0,0 @@ -import uuid -from collections.abc import Callable, Mapping, Sequence -from functools import update_wrapper -from inspect import signature -from itertools import starmap -from types import UnionType -from typing import Any, Union, get_args, get_origin - -from docstring_parser import compose, parse - -from aviary.utils import is_coroutine_callable - - -def make_pretty_id(prefix: str = "") -> str: - """ - Get an ID that is made using an optional prefix followed by part of an uuid4. - - For example: - - No prefix: "ff726cd1" - - With prefix of "foo": "foo-ff726cd1" - """ - uuid_frags: list[str] = str(uuid.uuid4()).split("-") - if not prefix: - return uuid_frags[0] - return prefix + "-" + uuid_frags[0] - - -DEFAULT_ARGREF_NOTE = "(Pass a string key instead of the full object)" -LIST_ARGREF_NOTE = "(Pass comma-separated string keys instead of the full object)" - - -def argref_wrapper(wrapper, wrapped, args_to_skip: set[str]): - """Inject the ARGREF_NOTE into the Args.""" - # normal wraps - wrapped_func = update_wrapper(wrapper, wrapped) - # when we modify wrapped_func's annotations, we don't want to mutate wrapped - wrapped_func.__annotations__ = wrapped_func.__annotations__.copy() - # now adjust what we need - for a in wrapped_func.__annotations__: - if a in args_to_skip: - continue - wrapped_func.__annotations__[a] = str - - orig_annots = wrapped.__annotations__ - - # now add note to docstring for all relevant Args - if wrapped_func.__doc__: - ds = parse(wrapped_func.__doc__) - for param in ds.params: - if param.arg_name in args_to_skip: - continue - - note = DEFAULT_ARGREF_NOTE - - if ( - param.type_name is None - and (type_hint := orig_annots.get(param.arg_name)) is not None - ): - param.type_name = _type_to_str(type_hint) - if list in {type_hint, get_origin(type_hint)}: - note = LIST_ARGREF_NOTE - - param.description = (param.description or "") + f" {note}" - - wrapped_func.__doc__ = compose(ds) - - return wrapped_func - - -def argref_by_name( # noqa: C901, PLR0915 - fxn_requires_state: bool = False, - prefix: str = "", - return_direct: bool = False, - type_check: bool = False, - args_to_skip: set[str] | None = None, -): - """Decorator to allow args to be a string key into a refs dict instead of the full object. - - This can prevent LLM-powered tool selections from getting confused by full objects, - instead it enables them to work using named references. If a reference is not found, it - will fallback on passing the original argument unless it is the first argument. If the - first argument str is not found in the state object, it will raise an error. - - Args: - fxn_requires_state: Whether to pass the state object to the decorated function. - prefix: A prefix to add to the generated reference ID. - return_direct: Whether to return the result directly or update the state object. - type_check: Whether to type-check arguments with respect to the wrapped function's - type annotations. - args_to_skip: If provided, a set of argument names that should not be referenced by name. - - Example 1: - >>> @argref_by_name() # doctest: +SKIP - >>> def my_func(foo: float): ... # doctest: +SKIP - - Example 2: - >>> def my_func(foo: float, bar: float) -> list[float]: - ... return [foo, bar] - >>> wrapped_fxn = argref_by_name()(my_func) - >>> # Equivalent to my_func(state.refs["foo"]) - >>> wrapped_fxn("foo", state=state) # doctest: +SKIP - - Working with lists: - - If you return a list, the decorator will create a new reference for each item in the list. - - If you pass multiple args that are strings, the decorator will assume those are the keys. - - If you need to pass a string, then use a keyword argument. - - Example 1: - >>> @argref_by_name() # doctest: +SKIP - >>> def my_func(foo: float, bar: float) -> list[float]: # doctest: +SKIP - ... return [foo, bar] # doctest: +SKIP - - Example 2: - >>> def my_func(foo: float, bar: float) -> list[float]: - ... return [foo, bar] - >>> wrapped_fxn = argref_by_name()(my_func) - >>> # Returns a multiline string with the new references - >>> # Equivalent to my_func(state.refs["a"], state.refs["b"]) - >>> wrapped_fxn("a", "b", state=state) # doctest: +SKIP - """ - args_to_skip = (args_to_skip or set()) | {"state", "return"} - - def decorator(func): # noqa: C901, PLR0915 - def get_call_args(*args, **kwargs): # noqa: C901 - if "state" not in kwargs: - raise ValueError( - "argref_by_name decorated function must have a 'state' argument." - " Function signature:" - f" {func.__name__}({', '.join(func.__annotations__)}) received" - f" args: {args} kwargs: {kwargs}" - ) - # pop the state argument - state = kwargs["state"] if fxn_requires_state else kwargs.pop("state") - - # now convert the keynames to actual references (if they are a string) - # tuple is (arg, if was dereferenced) - def maybe_deref_arg(arg, must_exist: bool) -> tuple[Any, bool]: - try: - refs = state.refs - except AttributeError as e: - raise AttributeError( - "The state object must have a 'refs' attribute to use" - " argref_by_name decorator." - ) from e - - if arg in refs: - return [refs[arg]], True - - # sometimes it is not correctly converted to a tuple - # so as an attempt to be helpful... - if ( - isinstance(arg, str) - and len(split_args := [a.strip() for a in arg.split(",")]) > 1 - ): - if not (missing := [a for a in split_args if a not in refs]): - return [refs[a] for a in split_args], True - - if must_exist: - # Error message for the agent - cast back to comma-separated, since that's the format the agent - # is expected to use. - raise KeyError( - "The following keys are not present in the current" - f' key-value store: "{", ".join(missing)}"' - ) - - if not must_exist: - return arg, False - - # Error message for the agent - raise KeyError( - f"Key is not present in the current key-value store: {arg!r}" - ) - - # the split thing makes it complicated and we cannot use comprehension - deref_args = [] - for i, arg in enumerate(args): - # In order to support *args, allow arguments that are either ref keys or strings - a, dr = maybe_deref_arg(arg, must_exist=False) - if dr: - deref_args.extend(a) - else: - if i == 0 and isinstance(arg, str): - # This is a bit of a heuristic, but if the first arg is a string and not found - # likely the user intended to use a reference - raise KeyError(f"The key {arg} is not found in state.") - deref_args.append(a) - - deref_kwargs = {} - for k, v in kwargs.items(): - if args_to_skip and k in args_to_skip: - deref_kwargs[k] = v - continue - - # In the kwarg case, force arguments to be ref keys (unless in args_to_skip) - a, _ = maybe_deref_arg(v, must_exist=True) - if len(a) > 1: - # We got multiple items, so pass the whole list - deref_kwargs[k] = a - else: - # We only got one item - pass it directly - deref_kwargs[k] = a[0] - - return deref_args, deref_kwargs, state - - def update_state(state, result): - if return_direct: - return result - # if it returns a list, rather than storing the list as a single reference - # we store each item in the list as a separate reference - if isinstance(result, list): - msg = [] - for item in result: - new_name = make_pretty_id(prefix) - state.refs[new_name] = item - msg.append(f"{new_name} ({item.__class__.__name__}): {item!s}") - return "\n".join(msg) - new_name = make_pretty_id(prefix) - state.refs[new_name] = result - return f"{new_name} ({result.__class__.__name__}): {result!s}" - - def wrapper(*args, **kwargs): - args, kwargs, state = get_call_args(*args, **kwargs) - if type_check: - _check_arg_types(func, args, kwargs) - result = func(*args, **kwargs) - return update_state(state, result) - - async def awrapper(*args, **kwargs): - args, kwargs, state = get_call_args(*args, **kwargs) - if type_check: - _check_arg_types(func, args, kwargs) - result = await func(*args, **kwargs) - return update_state(state, result) - - if is_coroutine_callable(func): - awrapper = argref_wrapper(awrapper, func, args_to_skip) - awrapper.requires_state = True # type: ignore[attr-defined] - return awrapper - - wrapper = argref_wrapper(wrapper, func, args_to_skip) - wrapper.requires_state = True # type: ignore[attr-defined] - return wrapper - - return decorator - - -def _check_arg_types(func: Callable, args, kwargs) -> None: - annotations = { - k: v for k, v in func.__annotations__.items() if k not in {"return", "state"} - } - - sig = signature(func) - param_names = list(sig.parameters.keys()) - - # Elements are tuple of (param, expected, provided) - wrong_types: list[tuple[str, str, str]] = [] - - # Map positional arguments to their parameter names - for idx, arg in enumerate(args): - if idx >= len(param_names): - break # Extra arguments are handled by *args if any - param = param_names[idx] - expected_type = annotations.get(param) - if expected_type and not _isinstance_with_generics(arg, expected_type): - wrong_types.append(( - param, - _type_to_str(expected_type), - _type_to_str(type(arg)), - )) - - # Check keyword arguments - for param, arg in kwargs.items(): - expected_type = annotations.get(param) - if expected_type and not _isinstance_with_generics(arg, expected_type): - wrong_types.append(( - param, - # sometimes need str for generics like Union - _type_to_str(expected_type), - _type_to_str(type(arg)), - )) - - if wrong_types: - raise TypeError( - "The following arguments have incorrect types:\n" - + "\n".join( - f"- {param}: expected {expected}, got {provided}" - for param, expected, provided in wrong_types - ) - ) - - -def _type_to_str(t) -> str: - """ - Convert a Python type annotation into its string representation. - - Examples: - type_to_str(int) -> "int" - type_to_str(Union[int, float]) -> "int | float" - type_to_str(list[str]) -> "list[str]" - """ - origin = get_origin(t) - args = get_args(t) - - if origin is Union: - # Handle Union types, including the new | syntax in Python 3.10+ - return " | ".join(_type_to_str(arg) for arg in args) - if origin is not None: - # Handle generic types like list[str], dict[str, int], etc. - origin_name = origin.__name__ - args_str = ", ".join(_type_to_str(arg) for arg in args) - return f"{origin_name}[{args_str}]" - if hasattr(t, "__name__"): - # Handle basic types - return t.__name__ - # Fallback for types without a __name__ attribute - return str(t) - - -def _isinstance_with_generics(obj, expected_type) -> bool: # noqa: C901, PLR0911 - """Like isinstance, but with support for generics.""" - origin = get_origin(expected_type) - if origin is None: - # Handle special cases like typing.Any - if expected_type is Any: - return True - return isinstance(obj, expected_type) - if origin in {UnionType, Union}: - return any( - _isinstance_with_generics(obj, arg) for arg in get_args(expected_type) - ) - if origin in {list, Sequence}: - if not isinstance(obj, Sequence): - return False - elem_type = get_args(expected_type)[0] - return all(_isinstance_with_generics(elem, elem_type) for elem in obj) - if origin in {dict, Mapping}: - if not isinstance(obj, Mapping): - return False - key_type, val_type = get_args(expected_type) - return all( - _isinstance_with_generics(k, key_type) - and _isinstance_with_generics(v, val_type) - for k, v in obj.items() - ) - if origin is tuple: - if not isinstance(obj, tuple): - return False - elem_types = get_args(expected_type) - if len(elem_types) == 2 and elem_types[1] is Ellipsis: # noqa: PLR2004 - # Tuple of variable length - return all(_isinstance_with_generics(elem, elem_types[0]) for elem in obj) - if len(elem_types) != len(obj): - return False - return all( - starmap(_isinstance_with_generics, zip(obj, elem_types, strict=True)) - ) - # Fallback to checking the origin type - return isinstance(obj, origin) diff --git a/src/aviary/tools/base.py b/src/aviary/tools/base.py deleted file mode 100644 index ffd56007..00000000 --- a/src/aviary/tools/base.py +++ /dev/null @@ -1,435 +0,0 @@ -import inspect -import json -import logging -import uuid -from collections.abc import Awaitable, Callable, Iterable -from functools import partial -from itertools import starmap -from typing import Annotated, Any, Literal, NoReturn, Self, TypeAlias - -from docstring_parser import DocstringParam, DocstringStyle, parse -from pydantic import ( - BaseModel, - ConfigDict, - Field, - FieldSerializationInfo, - PlainSerializer, - TypeAdapter, - create_model, - field_serializer, - model_validator, -) -from pydantic.fields import FieldInfo - -from aviary.message import Message -from aviary.utils import partial_format - -try: - from dicttoxml import dicttoxml -except ImportError: - dicttoxml = None - -logger = logging.getLogger(__name__) - -# Mapping from python types to JSON schema types -# SEE: https://json-schema.org/understanding-json-schema/reference/numeric -type_map: dict[type | None, str] = { - str: "string", - int: "integer", - float: "number", - bool: "boolean", - list: "list", - dict: "object", - None: "null", -} -reverse_type_map = {v: k for k, v in type_map.items()} - -# A string to denote an invalid tool. It can be used to indicate -# an attempt to use a non-existent tool, missing/invalid parameters, -# mangled output from the LLM, etc. -INVALID_TOOL_NAME = "INVALID" - - -class ToolCallFunction(BaseModel): - arguments: dict[str, Any] - name: str - - @model_validator(mode="before") - @classmethod - def deserialize_args(cls, data: Any) -> Any: - if isinstance(data, dict) and isinstance(data["arguments"], str | None): - if not data["arguments"]: - data["arguments"] = {} - else: - try: - data["arguments"] = json.loads(data["arguments"]) - except json.JSONDecodeError: - # If the arguments are not parseable, mark this ToolCall(Function) as invalid - # so we can enable "learn"ing what a valid tool call looks like - logger.warning( - f"Failed to JSON load tool {data.get('name')}'s arguments" - f" {data['arguments']}, declaring as {INVALID_TOOL_NAME}." - ) - data["name"] = INVALID_TOOL_NAME - data["arguments"] = {} - - return data - - @field_serializer("arguments") - def serialize_arguments(self, arguments: dict[str, Any]) -> str: - return json.dumps(arguments) - - def __str__(self) -> str: - arg_str = ", ".join([f"{k}='{v}'" for k, v in self.arguments.items()]) - return f"{self.name}({arg_str})" - - -class ToolCall(BaseModel): - id: str - type: Literal["function"] = "function" - function: ToolCallFunction - - @staticmethod - def generate_id() -> str: - """Generate a tool call ID of length 9 with values in [a-zA-Z0-9].""" - return str(uuid.uuid4()).replace("-", "")[:9] - - @classmethod - def from_tool(cls, tool: "Tool", *args, id: str | None = None, **kwargs) -> Self: # noqa: A002 - """Create a ToolCall from a Tool and arguments. - - The *args is packaged into the ToolCallFunction's arguments dict with best effort. - **kwargs is what is passed to toolcall because we have to use named parameters. - """ - # convert args to kwargs by matching them with the tool's parameters - for i, name in enumerate(tool.info.parameters.properties.keys()): - if i < len(args): - kwargs[name] = args[i] - return cls( - id=id or cls.generate_id(), - function=ToolCallFunction(name=tool.info.name, arguments=kwargs), - ) - - @classmethod - def from_name(cls, function_name: str, **kwargs) -> Self: - return cls( - id=cls.generate_id(), - function=ToolCallFunction(name=function_name, arguments=kwargs), - ) - - def __str__(self) -> str: - arg_str = ", ".join([f"{k}='{v}'" for k, v in self.function.arguments.items()]) - return f"{self.function.name}({arg_str})" - - -class ToolRequestMessage(Message): - role: Literal["assistant"] = Field( - default="assistant", description="Matching LiteLLM structure." - ) - content: str | None = None - function_call: None = None - tool_calls: list[ToolCall] = Field( - default_factory=list, - description="List of ToolCalls to make concurrently and independently.", - ) - - def __str__(self) -> str: - if not self.tool_calls: - return super().__str__() - base_msg = f"Tool request message {self.content or ''!r}" - if len(self.tool_calls) == 1: - return ( - f"{base_msg} for tool calls: " - f"{self.tool_calls[0]} [id={self.tool_calls[0].id}]" - ) - return f"{base_msg} for tool calls: " + "; ".join([ - f"{tc!s} [id={tc.id}]" for tc in self.tool_calls - ]) - - -class ToolResponseMessage(Message): - content: str = Field( - description=( - "Response message content, required to be a string by OpenAI/Anthropic." - ), - ) - role: Literal["tool"] = Field( - default="tool", description="Matching LiteLLM structure." - ) - name: str = Field(description="Name of the tool that was called.") - tool_call_id: str = Field( - description=( - "Propagated from ToolCall.id, enabling matching response with" - " ToolRequestMessage." - ) - ) - - @classmethod - def from_call(cls, call: ToolCall, content: str) -> Self: - return cls(content=content, name=call.function.name, tool_call_id=call.id) - - @classmethod - def from_request( - cls, request: ToolRequestMessage, contents: Iterable[str] - ) -> list[Self]: - return list( - starmap(cls.from_call, zip(request.tool_calls, contents, strict=True)) - ) - - def __str__(self) -> str: - return ( - f"Tool response message {self.content!r} for tool call ID" - f" {self.tool_call_id} of tool {self.name!r}" - ) - - -def dict_serialize_exclude_none( - value: dict[str, dict[str, Any]], info: FieldSerializationInfo -) -> dict[str, dict[str, Any]]: - """Work around Pydantic not applying exclude_none to dict serializations.""" - if info.exclude_none: - return { - p_name: {k: v for k, v in config.items() if v is not None} - for p_name, config in value.items() - } - return value - - -class Parameters(BaseModel): - """Matches LiteLLM's desired "tools" schema.""" - - model_config = ConfigDict(extra="allow") - - type: Literal["object"] = "object" - properties: Annotated[ - dict[str, dict[str, Any]], PlainSerializer(dict_serialize_exclude_none) - ] - required: list[str] - - -class FunctionInfo(BaseModel): - """ - Function-level (not arg-level) information. - - Matches LiteLLM's desired "tools" schema, and resembles inspect.Signature. - """ - - name: str - description: str - # SEE: https://github.com/openai/openai-openapi/blob/0f5de60a3d2b263dc2ac362371673f7a21811874/openapi.yaml#L7567-L7570 - parameters: Parameters - - def describe_str(self) -> str: - for value in self.parameters.properties.values(): - if value.get("allOf") or not value.get("type"): - raise NotImplementedError( - f"Complex types are not yet supported. Failed on: {self!r}" - ) - # Start with the function prototype - prototype = f"{self.name}(" - prototype += ", ".join([ - f"{arg['type']} {name}" for name, arg in self.parameters.properties.items() - ]) - prototype += ")" - - # Function description - indented_description_lines = "\n".join([ - f" {line}" if line else "" for line in self.description.split("\n") - ]) - description = f"DESCRIPTION:\n{indented_description_lines}\n" - - # Parameters description - params_description = "PARAMETERS:\n" - for name, arg in self.parameters.properties.items(): - param_desc = ( - f" {name} ({arg['type']}):" - f" {arg.get('description') or 'No description provided.'}\n" - ) - params_description += param_desc - - # Constructing the full man page - return ( - f"NAME: {self.name}\n\n" - f"SYNOPSIS:\n {prototype}\n\n" - f"{description}\n{params_description}" - ) - - def describe_xml(self) -> str: - try: - return dicttoxml( - self.model_dump(exclude_none=True, by_alias=True), - custom_root="function_info", - attr_type=False, - xml_declaration=False, - ).decode() - except TypeError: - raise ImportError( - "XML description requires the 'xml' extra for 'dicttoxml'. Please:" - " `pip install aviary[xml]`." - ) from None - - def describe_json(self) -> str: - return self.model_dump_json(exclude_none=True, by_alias=True) - - def __str__(self): - return self.describe_str() - - -def _raises(exc: Exception) -> NoReturn: - """Work around lambda not supporting raise statement.""" - raise exc - - -class Tool(BaseModel): - model_config = ConfigDict(populate_by_name=True) - - type: Literal["function"] = "function" - info: FunctionInfo = Field( - alias="function", - description=( - "The serialization alias of 'function' is to match LiteLLM structure on" - " serialization, and the validation alias enables deserialization." - ), - ) - - def __init__( - self, - tool_fn: Callable[..., Any] | Callable[..., Awaitable[Any]] = ( - lambda *_, **__: _raises( - NotImplementedError("Please provide a tool function to call.") - ) - ), - **kwargs, - ): - super().__init__(**kwargs) - # NOTE: this Callable is excluded from serialization - self._tool_fn = tool_fn - self._force_pickle_fn = False - - def __getstate__(self) -> dict[Any, Any]: - # Prevent _tool_fn from being pickled, SEE: https://stackoverflow.com/a/2345953 - state = super().__getstate__() - # allow forcing pickle, e.g., for cloud pickle sending - if self._force_pickle_fn: - return state - state["__dict__"] = state["__dict__"].copy() - state["__dict__"].pop("_tool_fn", None) - return state - - @staticmethod - def _get_param_desc(param: DocstringParam, include_type: bool) -> str: - if not include_type or not param.type_name: - return param.description or "" - return f"({param.type_name}): {param.description or ''}" - - @classmethod - def from_function( - cls, - function: Callable[..., Any] | Callable[..., Awaitable[Any]], - docstring_style: DocstringStyle = DocstringStyle.AUTO, - allow_empty_param_descriptions: bool = False, - types_in_param_descriptions: bool = False, - **formats, - ) -> "Tool": - """Hydrate this class via inspection from a free function with a docstring.""" - fxn_name = function.__name__ - # now we parse descriptions from the docstring - docstring = parse(function.__doc__, style=docstring_style) # type: ignore[arg-type] # SEE: https://github.com/rr-/docstring_parser/issues/88 - if not docstring.description: - raise ValueError(f"Missing docstring for function {fxn_name}.") - # now we parse descriptions from the docstring - try: - # Don't include anything below \f, matching FastAPI's solution for this - # SEE: https://fastapi.tiangolo.com/advanced/path-operation-advanced-configuration/#advanced-description-from-docstring - description_stop_index: int | None = docstring.description.index("\\f") - except ValueError: - description_stop_index = None - field_definitions: dict[str, tuple[type, FieldInfo]] = {} - required: dict[str, bool] = {} - annotations = function.__annotations__ - for pname, parameter in inspect.signature(function).parameters.items(): - if pname == "state": - # NOTE: ToolRequestMessage passes state for us, not the LLM - continue - d = next( - ( - cls._get_param_desc( - p, include_type=types_in_param_descriptions - ).replace("\n", " ") - for p in docstring.params - if p.arg_name == pname - ), - "", - ) - if not d and not allow_empty_param_descriptions: - raise ValueError(f"Missing description for parameter {pname}.") - required[pname] = parameter.default == inspect.Parameter.empty - field_config: dict[str, Any] = {} - if description := partial_format(d, **formats): - field_config["description"] = description - if not required[pname]: - field_config["default"] = parameter.default - - # Annotation resolution order: - # 1. function.__annotations__: type-hints in function signature or injected - # by argref_by_name. If a function has an opinion on a type hint, take it - # at face-value. - # 2. parameter.annotation - this will descend into wrapped functions. For - # argref_by_name, this is undesirabe, since the wrapper overwrites type hints. - # Hence, this is second in resolution order. - field_definitions[pname] = ( - annotations.get(pname) or parameter.annotation or type(None), - Field(**field_config), # type: ignore[pydantic-field] - ) - - json_schema = create_model( # type: ignore[call-overload] - "FieldDefinitions", **field_definitions - ).model_json_schema() - json_schema.pop("title") # Remove the throwaway model name - if "required" not in json_schema: - # The API schema doesn't require this, and gpt-3.5-turbo doesn't - # need this, but claude-3-haiku-20240307 does - json_schema["required"] = [] - return cls( - tool_fn=function, - info=FunctionInfo( - name=fxn_name, - description=partial_format( - docstring.description[:description_stop_index].strip(), **formats - ), - parameters=json_schema, - ), - ) - - -def wraps_doc_only(wrapped): - """A decorator to copy only the docstring from the wrapped function. - - You cannot use functools wraps directly because it will set the __wrapped__ attribute, - which causes inspect.signature to inspect the wrapped function instead of the wrapper. - - Usage: - def my_documented_function(foo): - '''This is a function that does something with foo.''' - pass - - @wraps_doc_only(my_documented_function) - def my_other_function(foo, state): - pass - - In this example, the second function can have different arguments, types, etc. and only the docstring - will be copied over. - """ - - def _wraps_doc_only(wrapper, wrapped): - wrapper.__doc__ = wrapped.__doc__ - return wrapper - - return partial(_wraps_doc_only, wrapped=wrapped) - - -# Conveniences for deserialization -Messages: TypeAlias = list[ToolRequestMessage | ToolResponseMessage | Message] -MessagesAdapter = TypeAdapter(Messages) -Tools: TypeAlias = list[Tool] -ToolsAdapter = TypeAdapter(Tools) diff --git a/src/aviary/tools/server.py b/src/aviary/tools/server.py deleted file mode 100644 index 3725fc65..00000000 --- a/src/aviary/tools/server.py +++ /dev/null @@ -1,219 +0,0 @@ -import os -import secrets -import sys -import tempfile -from collections.abc import Callable -from pathlib import Path -from typing import Any -from uuid import uuid4 - -from pydantic import BaseModel, Field, create_model - -from aviary.tools.base import Tool, ToolCall, ToolRequestMessage, reverse_type_map - - -async def make_tool_server( # noqa: C901, PLR0915 - environment_factory: Callable, - name: str = "Aviary Tool Server", - env_path: Path | None = None, -): - """Create a FastAPI server for the provided environment. - - This function exposes one endpoint per tool and endpoints to create/view/delete environments. - In contrast to other environment servers that expose an action endpoint, this one exposes all tools individually. - - This is only for debugging tools and not intended as a strategy for working with environments. - Most environments have side-effects from using tools that occur in the step function. This - bypasses that and allows you to call tools directly. - - Args: - environment_factory: A callable that returns an environment instance. - name: The name of the server. Defaults to Aviary Tool Server. - env_path: The path to the directory to store environments - """ - try: - import cloudpickle as pickle - from fastapi import Depends, FastAPI, HTTPException, status - from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer - except ModuleNotFoundError as exc: - raise ImportError( - "Please install aviary with the 'server' extra like so:" - " `pip install aviary[server]`." - ) from exc - - if not env_path: - env_path = Path(tempfile.gettempdir()) - auth_scheme = HTTPBearer() - - async def validate_token( - credentials: HTTPAuthorizationCredentials = Depends(auth_scheme), # noqa: B008 - ) -> str: - # NOTE: don't use os.environ.get() to avoid possible empty string matches, and - # to have clearer server failures if the AUTH_TOKEN env var isn't present - if not secrets.compare_digest( - credentials.credentials, os.environ["AUTH_TOKEN"] - ): - raise HTTPException( - status_code=status.HTTP_401_UNAUTHORIZED, - detail="Incorrect bearer token", - headers={"WWW-Authenticate": "Bearer"}, - ) - return credentials.credentials - - # these seem useful in other contexts, but from what I read - # it is discouraged to save/load so leaving it defined here - def save_environment(environment, tools, environment_id): - # make sure we force all tools to pickle - for tool in tools: - tool._force_pickle_fn = True - with open(env_path / f"{environment_id}.pkl", "wb") as f: - pickle.dump((environment, tools), f) - - def load_environment(environment_id): - if not (env_path / f"{environment_id}.pkl").exists(): - raise HTTPException( - status_code=status.HTTP_404_NOT_FOUND, - detail=f"Environment {environment_id} not found", - ) - with open(env_path / f"{environment_id}.pkl", "rb") as f: - return pickle.load(f) - - def make_environment_id(): - return f"env{str(uuid4())[:8].replace('-', '')}" - - def create_request_model_from_tool(tool: Tool) -> BaseModel: - fields = {} - for pname, info in tool.info.parameters.properties.items(): - if pname == "type": - continue - # we just assume it exists - ptype = reverse_type_map[info["type"]] if "type" in info else Any - - # decipher optional description, optional default, and type - if pname in tool.info.parameters.required: - if "description" in info: - fields[pname] = (ptype, Field(description=info["description"])) - else: - fields[pname] = (ptype, ...) - elif "description" in info: - fields[pname] = ( - ptype | None, - Field(description=info["description"], default=None), - ) - else: - fields[pname] = (ptype | None, None) - - return create_model(f"{tool.info.name.capitalize()}Params", **fields) # type: ignore[call-overload] - - web_app = FastAPI( - title=name, - description="API Server for Aviary Environment Tools", - dependencies=[Depends(validate_token)], - ) - - # make a starting environment to save tools - env = environment_factory() - _, tools = await env.reset() - - # Dynamically create routes for each tool - for tool in (t for t in tools if hasattr(t, "_tool_fn")): - tool_name = tool.info.name - tool_description = tool.info.description - RequestModel = create_request_model_from_tool(tool) - - # ensure the this will be in fast api scope - # because fastapi will barf on a request model that isn't in scope - # close your eyes PR reviewers - # also fuck your IDE tools - RequestModel.__module__ = sys._getframe(1).f_globals.get("__name__", "__main__") - - def create_tool_handler(tool_name, RequestModel, tool_description): - async def _tool_handler( - data: RequestModel, # type: ignore[valid-type] - environment_id: str = "", - ): - if environment_id: - env, env_tools = load_environment(environment_id) - else: - env = environment_factory() - _, env_tools = await env.reset() - environment_id = make_environment_id() - - # ok now find the tool_fn to call it with - # that came from the env I just loaded - msg = ToolRequestMessage( - tool_calls=[ToolCall.from_name(tool_name, **data.model_dump())] # type: ignore[attr-defined] - ) - try: - result_msgs, done, *_ = await env.step(msg) - except Exception as e: - raise HTTPException( - status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e) - ) from e - - if done: - _, env_tools = await env.reset() - - save_environment(env, env_tools, environment_id) - return { - "result": "\n\n".join([ - str(msg.content) for msg in result_msgs if msg.content - ]), - "environment_id": environment_id, - } - - _tool_handler.__doc__ = tool_description - return _tool_handler - - tool_handler = create_tool_handler( - tool.info.name, RequestModel, tool_description - ) - - # Add a POST route so we can invoke the tool function - web_app.post( - f"/{tool_name}", - summary=tool_name, - name=tool_name, - description=tool_description, - )(tool_handler) - - # Add environment endpoints - @web_app.get( - "/env/create", - summary="Create Environment", - description="Create a new environment", - ) - async def create_environment_endpoint(): - env = environment_factory() - _, tools = await env.reset() - environment_id = make_environment_id() - save_environment(env, tools, environment_id) - return environment_id - - @web_app.get( - "/env/delete/{environment_id}", - summary="Delete Environment", - description="Delete an environment", - ) - async def delete_environment_endpoint(environment_id: str): - if (env_path / f"{environment_id}.pkl").exists(): - (env_path / f"{environment_id}.pkl").unlink() - return environment_id - - @web_app.get( - "/env/view/{environment_id}", - summary="View Environment", - description="View an environment", - ) - async def view_environment_endpoint(environment_id: str): - if not (env_path / f"{environment_id}.pkl").exists(): - raise HTTPException( - status_code=status.HTTP_404_NOT_FOUND, - detail=f"Environment {environment_id} not found", - ) - with (env_path / f"{environment_id}.pkl").open("rb") as f: - env, _ = pickle.load(f) - - return env.state - - return web_app diff --git a/src/aviary/tools/utils.py b/src/aviary/tools/utils.py deleted file mode 100644 index e0fe3633..00000000 --- a/src/aviary/tools/utils.py +++ /dev/null @@ -1,221 +0,0 @@ -from collections.abc import Callable -from enum import StrEnum -from functools import partial -from typing import TYPE_CHECKING, Any, ClassVar, cast - -from pydantic import BaseModel, Field - -from aviary.message import MalformedMessageError, Message - -from .base import ( - MessagesAdapter, - Tool, - ToolRequestMessage, - ToolResponseMessage, - ToolsAdapter, -) - -if TYPE_CHECKING: - from collections.abc import Awaitable - - from litellm import ModelResponse - - -class EvalAnswerMode(StrEnum): - EXACT = "exact" # strings must match exactly - CONTAINS = "contains" # the correct answer is contained in the supplied answer - LLM = "llm" # Ask an LLM to evaluate - LLM_SCORE = "llm-score" # Ask an LLM to evaluate and return the score (normalized) - - -LLM_EVAL_CONFIG = { - "prompt": ( - "Here is a question, the correct answer to the question, and a proposed answer" - " to the question. Please tell me if the proposed answer is correct, given the" - " correct answer. ONLY SAY 'YES' OR 'NO'. No other output is permitted." - "\n\nQuestion: {question}" - "\n\nCorrect answer: {correct_answer}" - "\n\nProposed answer: {proposed_answer}" - ), - "model": "gpt-4o-mini", - "temperature": 0, -} - -LLM_SCORE_EVAL_CONFIG = { - "prompt": ( - "Here is a question, the correct answer to the question, and a rubric for" - " evaluating the question. Judge the proposed answer based on the given rubric." - " Give a score from 0 to 10. No other output is permitted." - "\n\nQuestion: {question}" - "\n\nRubric: {correct_answer}" - "\n\nProposed answer: {proposed_answer}" - ), - "model": "gpt-4o-mini", - "temperature": 0, - "max_score": 10, -} - - -async def eval_answer( - proposed: str, - correct: str, - question: str | None = None, - eval_mode: EvalAnswerMode = EvalAnswerMode.CONTAINS, - llm_eval_config: dict | None = None, -) -> float: - """Evaluate a proposed answer against a correct answer. - - Will return 0 or 1, except for llm-score which should be between 0 and 1 - """ - if eval_mode in {EvalAnswerMode.LLM, EvalAnswerMode.LLM_SCORE}: - try: - from litellm import acompletion - except ImportError as e: - raise ImportError( - "eval_answer requires the 'llm' extra for 'litellm'. Please:" - " `pip install aviary[llm]`." - ) from e - if question is None: - raise ValueError("Question must be provided for LLM evaluation mode.") - default_config = ( - LLM_EVAL_CONFIG - if eval_mode == EvalAnswerMode.LLM - else LLM_SCORE_EVAL_CONFIG - ) - config = llm_eval_config or default_config - prompt = cast(str, config.get("prompt", default_config["prompt"])).format( - question=question, - correct_answer=correct, - proposed_answer=proposed, - ) - response = await acompletion( - model=config.get("model", default_config["model"]), - temperature=config.get("temperature", default_config["temperature"]), - messages=[{"content": prompt, "role": "user"}], - ) - if eval_mode == EvalAnswerMode.LLM: - return await eval_answer( - response.choices[0].message.content.strip().casefold(), - "yes", - eval_mode=EvalAnswerMode.EXACT, - ) - try: - return float(response.choices[0].content.strip()) / float( - config.get("max_score", default_config["max_score"]) # type: ignore[arg-type] - ) - except ValueError: - return 0 - - gt = correct.strip().casefold() - pred = proposed.strip().casefold() - - if eval_mode == EvalAnswerMode.EXACT: - return float(pred == gt) - - if eval_mode == EvalAnswerMode.CONTAINS: - return float(gt in pred) - - raise RuntimeError(f"Invalid evaluation mode: {eval_mode}") - - -class ToolSelector: - """Simple entity to select a tool based on messages.""" - - def __init__( - self, - model_name: str = "gpt-4o", - acompletion: "Callable[..., Awaitable[ModelResponse]] | None" = None, - accum_messages: bool = False, - ): - """Initialize. - - Args: - model_name: Name of the model to select a tool with. - acompletion: Optional async completion function to use, leaving as the - default of None will use LiteLLM's acompletion. Alternately, specify - LiteLLM's Router.acompletion function for centralized rate limiting. - accum_messages: Whether the selector should accumulate messages in a ledger. - """ - if acompletion is None: - try: - from litellm import acompletion - except ImportError as e: - raise ImportError( - f"{type(self).__name__} requires the 'llm' extra for 'litellm'." - " Please: `pip install aviary[llm]`." - ) from e - self._model_name = model_name - self._bound_acompletion = partial(cast(Callable, acompletion), model_name) - self._ledger = ToolSelectorLedger() if accum_messages else None - - # SEE: https://platform.openai.com/docs/api-reference/chat/create#chat-create-tool_choice - # > `required` means the model must call one or more tools. - TOOL_CHOICE_REQUIRED: ClassVar[str] = "required" - - async def __call__( - self, - messages: list[Message], - tools: list[Tool], - tool_choice: Tool | str | None = TOOL_CHOICE_REQUIRED, - ) -> ToolRequestMessage: - """Run a completion that selects a tool in tools given the messages.""" - completion_kwargs: dict[str, Any] = {} - # SEE: https://platform.openai.com/docs/guides/function-calling/configuring-function-calling-behavior-using-the-tool_choice-parameter - expected_finish_reason: set[str] = {"tool_calls"} - if isinstance(tool_choice, Tool): - completion_kwargs["tool_choice"] = { - "type": "function", - "function": {"name": tool_choice.info.name}, - } - expected_finish_reason = {"stop"} # TODO: should this be .add("stop") too? - elif tool_choice is not None: - completion_kwargs["tool_choice"] = tool_choice - if tool_choice == self.TOOL_CHOICE_REQUIRED: - # Even though docs say it should be just 'stop', - # in practice 'tool_calls' shows up too - expected_finish_reason.add("stop") - - if self._ledger is not None: - self._ledger.messages.extend(messages) - messages = self._ledger.messages - - model_response = await self._bound_acompletion( - messages=MessagesAdapter.dump_python( - messages, exclude_none=True, by_alias=True - ), - tools=ToolsAdapter.dump_python(tools, exclude_none=True, by_alias=True), - **completion_kwargs, - ) - - if (num_choices := len(model_response.choices)) != 1: - raise MalformedMessageError( - f"Expected one choice in LiteLLM model response, got {num_choices}" - f" choices, full response was {model_response}." - ) - choice = model_response.choices[0] - if choice.finish_reason not in expected_finish_reason: - raise MalformedMessageError( - f"Expected a finish reason in {expected_finish_reason} in LiteLLM" - f" model response, got finish reason {choice.finish_reason!r}, full" - f" response was {model_response} and tool choice was {tool_choice}." - ) - usage = model_response.usage - selection = ToolRequestMessage( - **choice.message.model_dump(), - info={ - "usage": (usage.prompt_tokens, usage.completion_tokens), - "model": self._model_name, - }, - ) - if self._ledger is not None: - self._ledger.messages.append(selection) - return selection - - -class ToolSelectorLedger(BaseModel): - """Simple ledger to record tools and messages.""" - - tools: list[Tool] = Field(default_factory=list) - messages: list[ToolRequestMessage | ToolResponseMessage | Message] = Field( - default_factory=list - ) diff --git a/src/aviary/utils.py b/src/aviary/utils.py deleted file mode 100644 index e7d280b6..00000000 --- a/src/aviary/utils.py +++ /dev/null @@ -1,43 +0,0 @@ -import base64 -import contextlib -import inspect -import io -from typing import TYPE_CHECKING, Any - -if TYPE_CHECKING: - import numpy as np - - -def partial_format(value: str, **formats: dict[str, Any]) -> str: - """Partially format a string given a variable amount of formats.""" - for template_key, template_value in formats.items(): - with contextlib.suppress(KeyError): - value = value.format(**{template_key: template_value}) - return value - - -def encode_image_to_base64(img: "np.ndarray") -> str: - """Encode an image to a base64 string, to be included as an image_url in a Message.""" - try: - from PIL import Image - except ImportError as e: - raise ImportError( - "Image processing requires the 'image' extra for 'Pillow'. Please:" - " `pip install aviary[image]`." - ) from e - - image = Image.fromarray(img) - buffer = io.BytesIO() - image.save(buffer, format="PNG") - return ( - f"data:image/png;base64,{base64.b64encode(buffer.getvalue()).decode('utf-8')}" - ) - - -def is_coroutine_callable(obj) -> bool: - """Get if the input object is awaitable.""" - if inspect.isfunction(obj) or inspect.ismethod(obj): - return inspect.iscoroutinefunction(obj) - if callable(obj): - return inspect.iscoroutinefunction(obj.__call__) - return False diff --git a/tests/.gitignore b/tests/.gitignore deleted file mode 100644 index 69341fd8..00000000 --- a/tests/.gitignore +++ /dev/null @@ -1 +0,0 @@ -test_outputs/ diff --git a/tests/__init__.py b/tests/__init__.py deleted file mode 100644 index 293657e6..00000000 --- a/tests/__init__.py +++ /dev/null @@ -1,13 +0,0 @@ -import pathlib -from enum import StrEnum - - -class CILLMModelNames(StrEnum): - """Models to use for generic CI testing.""" - - ANTHROPIC = "claude-3-haiku-20240307" # Cheap and not Anthropic's cutting edge - OPENAI = "gpt-4o-mini-2024-07-18" # Cheap and not OpenAI's cutting edge - - -TESTS_DIR = pathlib.Path(__file__).parent -CASSETTES_DIR = TESTS_DIR / "cassettes" diff --git a/tests/cassettes/TestParallelism.test_tool_selector_from_model_name[gpt-4o-mini-2024-07-18].yaml b/tests/cassettes/TestParallelism.test_tool_selector_from_model_name[gpt-4o-mini-2024-07-18].yaml deleted file mode 100644 index 90ef7100..00000000 --- a/tests/cassettes/TestParallelism.test_tool_selector_from_model_name[gpt-4o-mini-2024-07-18].yaml +++ /dev/null @@ -1,232 +0,0 @@ -interactions: - - request: - body: - '{"messages": [{"role": "user", "content": "You are the president of the - United States of America. 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return DummyEnv() - - -OPENAI_API_KEY_HEADER = "authorization" -ANTHROPIC_API_KEY_HEADER = "x-api-key" -# SEE: https://github.com/kevin1024/vcrpy/blob/v6.0.1/vcr/config.py#L43 -VCR_DEFAULT_MATCH_ON = "method", "scheme", "host", "port", "path", "query" - - -@pytest.fixture(scope="session", name="vcr_config") -def fixture_vcr_config() -> dict[str, Any]: - return { - "filter_headers": [OPENAI_API_KEY_HEADER, ANTHROPIC_API_KEY_HEADER, "cookie"], - "record_mode": "once", - "match_on": ["method", "host", "path", "query"], - "allow_playback_repeats": True, - "cassette_library_dir": str(CASSETTES_DIR), - } diff --git a/tests/test_envs.py b/tests/test_envs.py deleted file mode 100644 index 7e006ab1..00000000 --- a/tests/test_envs.py +++ /dev/null @@ -1,402 +0,0 @@ -import asyncio -import json -import pathlib -import re -import tempfile -from typing import ClassVar - -import litellm -import pytest -from pydantic import BaseModel -from pytest_subtests import SubTests - -from aviary.core import ( - DummyEnv, - DummyEnvState, - Environment, - Frame, - Message, - Renderer, - TaskDataset, - Tool, - ToolCall, - ToolRequestMessage, - ToolResponseMessage, - ToolsAdapter, - ToolSelector, - ToolSelectorLedger, -) -from tests import CILLMModelNames -from tests.conftest import VCR_DEFAULT_MATCH_ON - -# Mistral API v0.0.2 required tool calls to comply with this pattern -MISTRAL_API_TOOL_CALL_ID_PATTERN = re.compile(r"^[a-zA-Z0-9]{9}$") - - -class TestDummyEnv: - @pytest.mark.asyncio - async def test_dummyenv(self, dummy_env: DummyEnv) -> None: - async def my_policy(obs: list[Message]) -> ToolRequestMessage: # noqa: ARG001 - # For testing purposes, we hardcoded the policy - return ToolRequestMessage( - tool_calls=[ - ToolCall.from_name("print_story", story="Once upon a time done") - ], - ) - - obs, _ = await dummy_env.reset() - assert isinstance(obs, list) - assert len(obs) == 1 - - action = await my_policy(obs) - _, reward, done, _ = await dummy_env.step(action) - assert reward > 0 - assert done - - @pytest.mark.asyncio - async def test_tool_signatures(self, dummy_env: DummyEnv) -> None: - _, tools = await dummy_env.reset() - assert ToolsAdapter.dump_python(tools, exclude_none=True) == [ - { - "type": "function", - "info": { - "name": "print_story", - "description": "Print a story.", - "parameters": { - "type": "object", - "properties": { - "story": { - "type": "string", - "title": "Story", - "description": "Story to print.", - } - }, - "required": ["story"], - }, - }, - }, - { - "info": { - "description": "Cast the input argument x to a float.", - "name": "cast_float", - "parameters": { - "properties": {"x": {"type": "string", "title": "X"}}, - "required": ["x"], - "type": "object", - }, - }, - "type": "function", - }, - { - "info": { - "description": "Cast the input argument x to an integer.", - "name": "cast_int", - "parameters": { - "properties": {"x": {"type": "number", "title": "X"}}, - "required": ["x"], - "type": "object", - }, - }, - "type": "function", - }, - ] - - def test_loading_from_name(self): - env: DummyEnv = Environment.from_name("dummy") - assert isinstance(env, DummyEnv) - - dataset = TaskDataset.from_name("dummy") - batch = next(iter(dataset.iter_batches(1))) - assert len(batch) == 1 - assert isinstance(batch[0], DummyEnv) - - @pytest.mark.parametrize( - "model_name", [CILLMModelNames.OPENAI.value, CILLMModelNames.ANTHROPIC.value] - ) - @pytest.mark.asyncio - async def test_tool_calling(self, dummy_env: DummyEnv, model_name: str) -> None: - def get_todo_list(n: int) -> str: - """Get todo list for today. - - Args: - n: number of items to return - """ - return "\n".join(["Go for a walk", "Read a book", "Call a friend"][:n]) - - tool = Tool.from_function(get_todo_list) - dummy_env.tools = [tool] - tool_request_message = ToolRequestMessage( - tool_calls=[ToolCall.from_name("get_todo_list", n=3)] - ) - assert all( - MISTRAL_API_TOOL_CALL_ID_PATTERN.match(tc.id) - for tc in tool_request_message.tool_calls - ) - new_messages = await dummy_env.exec_tool_calls(tool_request_message) - (new_message,) = new_messages - assert new_message.content == "Go for a walk\nRead a book\nCall a friend" - assert new_message.tool_call_id == tool_request_message.tool_calls[0].id - - def get_todo_list_no_args() -> str: - """Get todo list for today.""" - return "\n".join(["Go for a walk", "Read a book", "Call a friend"]) - - tool = Tool.from_function(get_todo_list_no_args) - dummy_env.tools = [tool] - tool_request_message = ToolRequestMessage( - tool_calls=[ToolCall.from_name("get_todo_list_no_args")] - ) - assert all( - MISTRAL_API_TOOL_CALL_ID_PATTERN.match(tc.id) - for tc in tool_request_message.tool_calls - ) - new_messages = await dummy_env.exec_tool_calls(tool_request_message) - (new_message,) = new_messages - assert new_message.content == "Go for a walk\nRead a book\nCall a friend" - assert new_message.tool_call_id == tool_request_message.tool_calls[0].id - - # ok now try with multiple functions - - def get_calendar() -> str: - """Get text version of calendar for today.""" - return "9:00am Wake-up\n10:00pm Go to bed\n" - - tool2 = Tool.from_function(get_calendar) - dummy_env.tools = [tool, tool2] - tool_request_message = ToolRequestMessage( - # NOTE: use from_tool to test coverage of that classmethod too - tool_calls=[ToolCall.from_tool(tool), ToolCall.from_tool(tool2)], - ) - assert all( - MISTRAL_API_TOOL_CALL_ID_PATTERN.match(tc.id) - for tc in tool_request_message.tool_calls - ) - new_messages = await dummy_env.exec_tool_calls(tool_request_message) - if model_name.startswith("claude"): - # Anthropic not always so smart - assert 1 <= len(new_messages) <= 2 - else: - assert len(new_messages) == 2 - - -@pytest.mark.asyncio -async def test_multiple_calls(dummy_env: DummyEnv) -> None: - obs, tools = await dummy_env.reset() - calls = [ - ToolCall.from_name(tools[0].info.name, story="Hello, how are you?"), - ToolCall.from_name(tools[0].info.name, story="Hello, how are you?"), - ToolCall.from_name(tools[0].info.name, story="Hello, how are you?"), - ] - action = ToolRequestMessage(tool_calls=calls) - obs, reward, done, truncated = await dummy_env.step(action) - assert reward > 0 - assert done - - -class TestRendering: - class SomeState(BaseModel): - field: int - - @pytest.mark.parametrize( - ("state", "serialized"), - [ - (5, 5), - (5.6, 5.6), - ("hi", "hi"), - (True, True), - (["hi"], ["hi"]), - ({"hi": 5}, {"hi": 5}), - (SomeState(field=5), {"field": 5}), - ], - ) - def test_serialization(self, state, serialized) -> None: - assert Frame(state=state).model_dump()["state"] == serialized - - def test_frame_mutability(self) -> None: - # make a nested list - so shallow copy won't catch it - mutable_state = [["foo"]] - non_deep_copy = Frame(state=mutable_state, deepcopy=False) - mutable_state[0].append("bar") - assert non_deep_copy.model_dump()["state"] == [["foo", "bar"]] - - mutable_state = [["foo"]] - deep_copy = Frame(state=mutable_state) - mutable_state[0].append("bar") - assert deep_copy.model_dump()["state"] == [["foo"]] - - def test_rendering(self, dummy_env: DummyEnv) -> None: - # Reset to add state - asyncio.run(dummy_env.reset()) - - renderer = Renderer(name="Name", prefix="test") - renderer.append(dummy_env.export_frame()) - with tempfile.TemporaryDirectory() as tmpdir: - build_dir = pathlib.Path(tmpdir) - renderer.build(build_dir) - file_paths = list(build_dir.glob("*.json")) - assert len(file_paths) == 2, "Expected manifest and one object" - frame_path = file_paths[ - file_paths[0].name.removeprefix("test_").startswith("info") - ] - with frame_path.open() as f: - rehydrated = json.load(f) - assert rehydrated["state"]["messages"] == [ - "Write a 5 word story via print_story" - ] - - -class ParallelizedDummyEnv(DummyEnv): - def __init__(self, right_hand_broken: bool = False): - super().__init__() - self.right_hand_broken = right_hand_broken - - RIGHT_HAND_BROKEN_MESSAGE: ClassVar[str] = "Right hand is broken." - - async def reset(self) -> tuple[list[Message], list[Tool]]: - def move_right_hand( - distance: int, # noqa: ARG001 - state: DummyEnvState, - ) -> None: - """ - Move your right hand forward or backward. - - Args: - distance: Integer distance to move (mm), where forward is positive. - state: Current state. - """ - if self.right_hand_broken: # Use this to test tool errors - raise RuntimeError(self.RIGHT_HAND_BROKEN_MESSAGE) - state.reward += 1 - - def move_left_hand( - distance: int, # noqa: ARG001 - state: DummyEnvState, - ) -> None: - """ - Move your left hand forward or backward. - - Args: - distance: Integer distance to move (mm), where forward is positive. - state: Current state. - """ - state.reward += 1 - - def smile_and_wave(state: DummyEnvState) -> None: - """ - Smile and wave. - - Args: - state: Current state. - """ - state.reward = 10 - state.done = True - - self.tools = [ - Tool.from_function(move_left_hand), - Tool.from_function(move_right_hand), - Tool.from_function(smile_and_wave), - ] - self.state = type(self).State( - messages=[ - Message( - role="user", - content=( - "You are the president of the United States of America." - " Please move both hands at the same time, and then smile" - " and wave." - ), - ) - ] - ) - return self.state.messages, self.tools - - -class TestParallelism: - @pytest.mark.parametrize( - "model_name", [CILLMModelNames.ANTHROPIC.value, "gpt-4-turbo"] - ) - @pytest.mark.asyncio - async def test_exec_tool_calls_handling(self, model_name: str) -> None: - env = ParallelizedDummyEnv(right_hand_broken=True) - obs, tools = await env.reset() - right_hand_tool = tools[1] - - # 1. Let's DIY create a ToolRequestMessage for test determinism - request_msg = ToolRequestMessage( - tool_calls=[ToolCall.from_tool(right_hand_tool, distance=5)] - ) - - # 2. Okay, our hand was broken, let's handle it DIY-style - try: - obs, *_ = await env.step(action=request_msg) - except RuntimeError as exc: - obs = [ - Message( - content=f"Failed to execute tools with message:\n{exc}", role="tool" - ) - ] - else: - raise AssertionError("Should have blown up per the test logic.") - - # 2. Now that we have confirmed that, let's make sure exec_tool_calls - # can automate this for us - obs = await env.exec_tool_calls( - message=request_msg, state=env.state, handle_tool_exc=True - ) - (failure_tool_response,) = obs - assert isinstance(failure_tool_response, ToolResponseMessage) - assert env.RIGHT_HAND_BROKEN_MESSAGE in failure_tool_response.content - - @pytest.mark.vcr(match_on=[*VCR_DEFAULT_MATCH_ON, "body"]) - @pytest.mark.parametrize("model_name", [CILLMModelNames.OPENAI.value]) - @pytest.mark.asyncio - async def test_tool_selector_from_model_name( - self, subtests: SubTests, model_name: str - ) -> None: - env = ParallelizedDummyEnv() - obs, tools = await env.reset() - - with subtests.test("'required' tool_choice"): - ledger = ToolSelectorLedger(tools=tools) - selector = ToolSelector(model_name) - tool_request_message = await selector(obs, tools) - ledger.messages.append(tool_request_message) - ledger.model_dump() # Proving we can serialize the ledger - assert isinstance(tool_request_message, ToolRequestMessage) - assert tool_request_message.tool_calls, "Expected at least one tool call" - - with subtests.test("'auto' tool_choice"): - # NOTE: 'auto' can work, but you risk the ToolSelector not actually - # selecting a tool, which is why 'auto' is not the default - ledger = ToolSelectorLedger(tools=tools) - selector = ToolSelector(model_name) - tool_request_message = await selector(obs, tools, tool_choice="auto") - ledger.messages.append(tool_request_message) - ledger.model_dump() # Proving we can serialize the ledger - assert isinstance(tool_request_message, ToolRequestMessage) - assert tool_request_message.tool_calls, "Expected at least one tool call" - - @pytest.mark.vcr - @pytest.mark.parametrize("model_name", [CILLMModelNames.OPENAI.value]) - @pytest.mark.asyncio - async def test_tool_selector_with_external_acompletion( - self, model_name: str - ) -> None: - env = ParallelizedDummyEnv() - obs_tools = await env.reset() - - router = litellm.Router( - model_list=[ - litellm.DeploymentTypedDict( - model_name="openai", litellm_params={"model": model_name} - ) - ] - ) - selector = ToolSelector("openai", router.acompletion) - tool_request_message = await selector(*obs_tools) - assert isinstance(tool_request_message, ToolRequestMessage) - assert tool_request_message.tool_calls, "Expected at least one tool call" - - assert tool_request_message.info, "Expected message info" - assert tool_request_message.info["usage"][0] > 0, "Expected prompt tokens" - assert tool_request_message.info["model"], "Expected model name" diff --git a/tests/test_messages.py b/tests/test_messages.py deleted file mode 100644 index 10c6af54..00000000 --- a/tests/test_messages.py +++ /dev/null @@ -1,161 +0,0 @@ -import json - -import numpy as np -import pytest - -from aviary.core import ( - Message, - ToolCall, - ToolCallFunction, - ToolRequestMessage, - ToolResponseMessage, -) - - -class TestMessage: - def test_roles(self) -> None: - # make sure it rejects invalid roles - with pytest.raises(ValueError): # noqa: PT011 - Message(role="invalid", content="Hello, how are you?") - # make sure it accepts valid roles - Message(role="system", content="Respond with single words.") - - @pytest.mark.parametrize( - ("message", "expected"), - [ - (Message(), ""), - (Message(content="stub"), "stub"), - (Message(role="system", content="stub"), "stub"), - (ToolRequestMessage(), ""), - (ToolRequestMessage(content="stub"), "stub"), - ( - ToolRequestMessage( - content="stub", - tool_calls=[ - ToolCall( - id="1", - function=ToolCallFunction(name="name", arguments={"hi": 5}), - ) - ], - ), - "Tool request message 'stub' for tool calls: name(hi='5') [id=1]", - ), - ( - ToolRequestMessage( - tool_calls=[ - ToolCall( - id="1", - function=ToolCallFunction(name="foo1", arguments={"hi": 5}), - ), - ToolCall( - id="2", - function=ToolCallFunction(name="foo2", arguments={}), - ), - ToolCall( - id="3", - function=ToolCallFunction(name="foo1", arguments=""), - ), - ToolCall( - id="4", - function=ToolCallFunction(name="foo2", arguments=None), - ), - ], - ), - ( - "Tool request message '' for tool calls: " - "foo1(hi='5') [id=1]; foo2() [id=2]; foo1() [id=3]; foo2() [id=4]" - ), - ), - ( - ToolResponseMessage(content="stub", name="name", tool_call_id="1"), - "Tool response message 'stub' for tool call ID 1 of tool 'name'", - ), - ( - Message( - content=[ - {"type": "text", "text": "stub"}, - {"type": "image_url", "image_url": {"url": "stub_url"}}, - ] - ), - ( - '[{"type": "text", "text": "stub"}, {"type": "image_url",' - ' "image_url": {"url": "stub_url"}}]' - ), - ), - ], - ) - def test_str(self, message: Message, expected: str) -> None: - assert str(message) == expected - - @pytest.mark.parametrize( - ("message", "expected"), - [ - (Message(), {"role": "user"}), - (Message(content="stub"), {"role": "user", "content": "stub"}), - ( - Message( - content=[ - {"type": "text", "text": "stub"}, - {"type": "image_url", "image_url": {"url": "stub_url"}}, - ] - ), - { - "role": "user", - "content": [ - {"type": "text", "text": "stub"}, - {"type": "image_url", "image_url": {"url": "stub_url"}}, - ], - }, - ), - ], - ) - def test_dump(self, message: Message, expected: dict) -> None: - assert message.model_dump(exclude_none=True) == expected - - def test_image_message(self) -> None: - # An RGB image of a red square - image = np.zeros((32, 32, 3), dtype=np.uint8) - image[:] = [255, 0, 0] # (255 red, 0 green, 0 blue) is maximum red in RGB - message_text = "What color is this square? Respond only with the color name." - message_with_image = Message.create_message(text=message_text, image=image) - assert message_with_image.content - specialized_content = json.loads(message_with_image.content) - assert len(specialized_content) == 2 - text_idx, image_idx = ( - (0, 1) if specialized_content[0]["type"] == "text" else (1, 0) - ) - assert specialized_content[text_idx]["text"] == message_text - assert "image_url" in specialized_content[image_idx] - - -class TestToolRequestMessage: - def test_from_request(self) -> None: - trm = ToolRequestMessage( - content="stub", - tool_calls=[ - ToolCall( - id="1", - function=ToolCallFunction(name="name1", arguments={"hi": 5}), - ), - ToolCall(id="2", function=ToolCallFunction(name="name2", arguments={})), - ], - ) - assert ToolResponseMessage.from_request(trm, ("stub1", "stub2")) == [ - ToolResponseMessage(content="stub1", name="name1", tool_call_id="1"), - ToolResponseMessage(content="stub2", name="name2", tool_call_id="2"), - ] - - def test_append_text(self) -> None: - trm = ToolRequestMessage( - content="stub", tool_calls=[ToolCall.from_name("stub_name")] - ) - trm_inplace = trm.append_text("text") - assert trm.content == trm_inplace.content == "stub\ntext" - # Check append performs an in-place change by default - assert trm.tool_calls[0] is trm_inplace.tool_calls[0] - - trm_copy = trm.append_text("text", inplace=False) - assert trm_copy.content == "stub\ntext\ntext" - # Check append performs a deep copy when not inplace - assert trm.content == "stub\ntext" - assert trm.tool_calls[0] is not trm_copy.tool_calls[0] diff --git a/tests/test_tools.py b/tests/test_tools.py deleted file mode 100644 index 3d43991f..00000000 --- a/tests/test_tools.py +++ /dev/null @@ -1,807 +0,0 @@ -import json -import os -import pickle -from collections.abc import Callable, Sequence -from enum import IntEnum, auto -from typing import Any -from unittest.mock import patch - -import pytest -from fastapi.testclient import TestClient -from pydantic import BaseModel, Field -from pytest_subtests import SubTests -from typeguard import suppress_type_checks - -from aviary.core import ( - INVALID_TOOL_NAME, - DummyEnv, - Environment, - FunctionInfo, - Message, - Tool, - ToolCall, - ToolRequestMessage, - argref_by_name, -) -from aviary.tools.server import make_tool_server - - -def simple() -> None: - """Doing nothing may be better than doing something.""" - - -def intuitive_arg(x: str) -> float: # type: ignore[empty-body] - """Cast the input argument x to a float.""" - - -class StubState(BaseModel): - """Stub model docstring.""" - - defaulted_int: int = Field(default=1, description="A description of the int.") - required_str: str = Field(description="A description of the str.") - - -class StubEnum(IntEnum): - """Stub enum docstring.""" - - STUB1 = auto() - STUB2 = auto() - - -def many_edge_cases( - x: int, - y: None, - union: int | None, - pydantic_model: StubState, - basic_dict: dict[str, int], - complex_dict: dict[str, tuple[str, int]], - enum: StubEnum, - defaulted_str: str = "default", - defaulted_float: float = 1.0, -) -> None: - """ - Check using docstrings as partial f-string templates like so: {summary_format}. - - Args: - x: Yes, I end with a colon : - y: I am null. - And despite that there is a multiline argument description. - union: I am a union and the current year is {current_year}. - pydantic_model: I am a Pydantic model. - basic_dict: I am a dictionary with primitive values. - complex_dict: I am a dictionary with complex values. - enum: I am an enum. - defaulted_str: I have a string default value. - defaulted_float: I have a float default value. - """ - - -def add(a: int, b: int) -> int: - """Add two numbers. - - Args: - a: first number - b: second number - - Returns: - I am not yet included, perhaps someday I should be. - """ - return a + b - - -def example_fxn(x: int, y: str, z: float) -> None: - r"""A test function. - - There may be non-summary content. - - \f - - I should be ignored. - - Args: - x: x - y: y - z: z - """ - assert isinstance(x, int) - assert isinstance(y, str) - assert isinstance(z, float) - - -class TestTool: - @pytest.mark.parametrize( - ("fn", "kwargs", "expected"), - [ - pytest.param( - simple, - {}, - { - "type": "function", - "info": { - "name": "simple", - "description": ( - "Doing nothing may be better than doing something." - ), - "parameters": { - "properties": {}, - "required": [], - "type": "object", - }, - }, - }, - id="only-summary", - ), - pytest.param( - intuitive_arg, - {"allow_empty_param_descriptions": True}, - { - "type": "function", - "info": { - "name": "intuitive_arg", - "description": "Cast the input argument x to a float.", - "parameters": { - "properties": {"x": {"title": "X", "type": "string"}}, - "required": ["x"], - "type": "object", - }, - }, - }, - id="only-summary", - ), - pytest.param( - many_edge_cases, - {"current_year": 2024}, # Intentionally left format_1 unformatted, - { - "type": "function", - "info": { - "name": "many_edge_cases", - "description": ( - "Check using docstrings as partial f-string templates like" - " so: {summary_format}." - ), - "parameters": { - "type": "object", - "properties": { - "x": { - "description": "Yes, I end with a colon :", - "title": "X", - "type": "integer", - }, - "y": { - "description": ( - "I am null. And despite that there is a" - " multiline argument description." - ), - "title": "Y", - "type": "null", - }, - "union": { - "anyOf": [{"type": "integer"}, {"type": "null"}], - "description": ( - "I am a union and the current year is 2024." - ), - "title": "Union", - }, - "pydantic_model": { - "$ref": "#/$defs/StubState", - "description": "I am a Pydantic model.", - }, - "basic_dict": { - "additionalProperties": {"type": "integer"}, - "description": ( - "I am a dictionary with primitive values." - ), - "title": "Basic Dict", - "type": "object", - }, - "complex_dict": { - "additionalProperties": { - "maxItems": 2, - "minItems": 2, - "prefixItems": [ - {"type": "string"}, - {"type": "integer"}, - ], - "type": "array", - }, - "description": ( - "I am a dictionary with complex values." - ), - "title": "Complex Dict", - "type": "object", - }, - "enum": { - "$ref": "#/$defs/StubEnum", - "description": "I am an enum.", - }, - "defaulted_str": { - "default": "default", - "description": "I have a string default value.", - "title": "Defaulted Str", - "type": "string", - }, - "defaulted_float": { - "default": 1.0, - "description": "I have a float default value.", - "title": "Defaulted Float", - "type": "number", - }, - }, - "required": [ - "x", - "y", - "union", - "pydantic_model", - "basic_dict", - "complex_dict", - "enum", - ], - "$defs": { - "StubEnum": { - "description": "Stub enum docstring.", - "enum": [1, 2], - "title": "StubEnum", - "type": "integer", - }, - "StubState": { - "description": "Stub model docstring.", - "properties": { - "defaulted_int": { - "default": 1, - "description": "A description of the int.", - "title": "Defaulted Int", - "type": "integer", - }, - "required_str": { - "description": "A description of the str.", - "title": "Required Str", - "type": "string", - }, - }, - "required": ["required_str"], - "title": "StubState", - "type": "object", - }, - }, - }, - }, - }, - id="many-edge-cases", - ), - pytest.param( - add, - {}, - { - "type": "function", - "info": { - "name": "add", - "description": "Add two numbers.", - "parameters": { - "properties": { - "a": { - "description": "first number", - "title": "A", - "type": "integer", - }, - "b": { - "description": "second number", - "title": "B", - "type": "integer", - }, - }, - "required": ["a", "b"], - "type": "object", - }, - }, - }, - id="with-args-and-returns", - ), - pytest.param( - example_fxn, - {}, - { - "type": "function", - "info": { - "name": "example_fxn", - "description": ( - "A test function.\n\nThere may be non-summary content." - ), - "parameters": { - "properties": { - "x": { - "description": "x", - "title": "X", - "type": "integer", - }, - "y": { - "description": "y", - "title": "Y", - "type": "string", - }, - "z": { - "description": "z", - "title": "Z", - "type": "number", - }, - }, - "required": ["x", "y", "z"], - "type": "object", - }, - }, - }, - id="with-linefeed", - ), - ], - ) - def test_from_function( - self, fn: Callable, kwargs: dict[str, Any], expected: dict[str, Any] - ) -> None: - assert ( - Tool.from_function(fn, **kwargs).model_dump(exclude_none=True) == expected - ) - - @pytest.mark.parametrize( - ("fn", "kwargs", "expected"), - [ - ( - example_fxn, - {}, - """NAME: example_fxn - -SYNOPSIS: - example_fxn(integer x, string y, number z) - -DESCRIPTION: - A test function. - - There may be non-summary content. - -PARAMETERS: - x (integer): x - y (string): y - z (number): z""", - ), - ( - intuitive_arg, - {"allow_empty_param_descriptions": True}, - """NAME: intuitive_arg - -SYNOPSIS: - intuitive_arg(string x) - -DESCRIPTION: - Cast the input argument x to a float. - -PARAMETERS: - x (string): No description provided.""", - ), - ], - ) - def test_describe_str( - self, fn: Callable, kwargs: dict[str, Any], expected: str - ) -> None: - tool = Tool.from_function(fn, **kwargs) - assert tool.info.describe_str().strip() == expected - - def test_describe(self, subtests: SubTests) -> None: - """Test that describe_xyz functions for FunctionInfo are reasonable.""" - tool = Tool.from_function(example_fxn) - - with subtests.test("Test describe_xml is callable"): - assert tool.info.describe_xml() - - with subtests.test("Test describe_json is callable"): - assert tool.info.describe_json() - - def test_serialization_manual(self) -> None: - # make one manually - tool = Tool( - tool_fn=add, - info=FunctionInfo( - name="add", - description="Add two numbers.", - parameters={ - "properties": { - "a": { - "description": "first number", - "title": "A", - "type": "integer", - }, - "b": { - "description": "second number", - "title": "B", - "type": "integer", - }, - }, - "required": ["a", "b"], - "type": "object", - }, - ), - ) - - ref = json.loads(r"""{ - "type": "function", - "function": { - "name": "add", - "description": "Add two numbers.", - "parameters": { - "type": "object", - "properties": { - "a": { - "type": "integer", - "title": "A", - "description": "first number" - }, - "b": { - "type": "integer", - "title": "B", - "description": "second number" - } - }, - "required": [ - "a", - "b" - ] - } - } - }""") - # make sure it agrees with the reference - my_dump = json.loads(tool.model_dump_json(exclude_none=True, by_alias=True)) - assert my_dump == ref - - # make one from a function - tool_fxn = Tool.from_function(add) - # make sure it serializes correctly - assert tool_fxn.model_dump_json( - exclude_none=True, by_alias=True - ) == tool.model_dump_json(exclude_none=True, by_alias=True) - - @pytest.mark.asyncio - async def test_arg_types(self) -> None: - tool = Tool.from_function(example_fxn) - - assert tool.info.parameters.properties["x"]["type"] == "integer" - assert tool.info.parameters.properties["y"]["type"] == "string" - assert tool.info.parameters.properties["z"]["type"] == "number" - - calls = [ - ToolCall.from_name(tool.info.name, x=5, y="hi", z=4.2), - ] - for call in calls: - # Call the function to make sure argument types - # are passed correctly. Private because - # it doesn't serialize - tool._tool_fn(**call.function.arguments) - - @pytest.mark.asyncio - async def test_tool_serialization( - self, dummy_env: DummyEnv, subtests: SubTests - ) -> None: - def get_todo_list(n: int): - """Get todo list for today. - - Args: - n: number of items to return - """ - return "\n".join(["Go for a walk", "Read a book", "Call a friend"][:n]) - - tool = Tool.from_function(get_todo_list) - - with subtests.test("pickling"): - # Check round-trip pickling doesn't break the original Tool - orig_tool_fn_id = id(tool._tool_fn) - pickle.loads(pickle.dumps(tool)) # noqa: S301 - assert id(tool._tool_fn) == orig_tool_fn_id - - with subtests.test("serialization then deserialization"): - tool_copy = Tool(**tool.model_dump(by_alias=True)) - assert tool.type == tool_copy.type - assert tool.info == tool_copy.info - - dummy_env.tools = [tool] - - with subtests.test("tool call from dump"): - # Mimic the way an ToolCall might be invoked by an LLM API: - # the arguments will be strings. - action = ToolRequestMessage(**{ # noqa: PIE804 - "tool_calls": [ - { - "id": "good_tool_call", - "function": {"name": "get_todo_list", "arguments": '{"n": 2}'}, - }, - { - "id": "bad_tool_call", - "function": { - "name": "get_todo_list", - "arguments": '({"n": 2})', # NOTE: invalid JSON - }, - }, - ] - }) - - assert action.tool_calls[0].function.arguments == {"n": 2} - assert action.tool_calls[1].function.name == INVALID_TOOL_NAME - - with subtests.test("tool call from name"): - tool_call = ToolCall.from_name("get_todo_list", n=2) - action = ToolRequestMessage(tool_calls=[tool_call]) - new_messages = await dummy_env.exec_tool_calls(action) - assert new_messages[0].content == "Go for a walk\nRead a book" - - with subtests.test("tool call from tool"): - tool_call = ToolCall.from_tool(tool, n=2) - action = ToolRequestMessage(tool_calls=[tool_call]) - new_messages = await dummy_env.exec_tool_calls(action) - assert new_messages[0].content == "Go for a walk\nRead a book" - - with subtests.test("tool call from tool with no kwargs"): - tool_call = ToolCall.from_tool(tool, 3) - action = ToolRequestMessage(tool_calls=[tool_call]) - new_messages = await dummy_env.exec_tool_calls(action) - assert ( - new_messages[0].content == "Go for a walk\nRead a book\nCall a friend" - ) - - def get_todo_list_no_args(): - """Get todo list for today.""" - return "Go for a walk" - - tool = Tool.from_function(get_todo_list_no_args) - dummy_env.tools = [tool] - - with subtests.test("tool call from tool with no args and order mismatch"): - tool_call = ToolCall.from_tool(tool) - action = ToolRequestMessage(tool_calls=[tool_call]) - new_messages = await dummy_env.exec_tool_calls(action) - assert new_messages[0].content == "Go for a walk" - - tool_call = ToolCall.from_tool(tool, 1, 10, 30441) - action = ToolRequestMessage(tool_calls=[tool_call]) - new_messages = await dummy_env.exec_tool_calls(action) - assert new_messages[0].content == "Go for a walk" - - -@pytest.mark.asyncio -async def test_argref_by_name_basic_usage() -> None: - class MyState: - def __init__(self): - self.refs = {"foo": 1} - - # Check we can use argref_by_name to add 1 + 2 using a value in refs - wrapped_add = argref_by_name(args_to_skip={"b"})(add) - s = MyState() - - result = wrapped_add("foo", 2, state=s) - # Now s.refs has a new entry at the below `name` - name = result.split()[0] - assert s.refs[name] == 1 + 2 - - # Check kwargs work too - result = wrapped_add(a="foo", b=2, state=s) - name = result.split()[0] - assert s.refs[name] == 1 + 2 - - -@pytest.mark.asyncio -async def test_argref_by_name_error_handling() -> None: - class MyState: - def __init__(self): - self.refs = {"foo": 1} - - wrapped_add = argref_by_name()(add) - s = MyState() - - # Check if we use a key name that doesn't exist, we blow up - with pytest.raises(KeyError, match="not found in state"): - wrapped_add("bar", 2, state=s) - - # Check if state doesn't have refs, we blow up - with pytest.raises(AttributeError, match="must have a 'refs' attribute"): - wrapped_add("foo", 2, state="not a state") - - # Check that we cannot pass a direct value as a kwarg - with pytest.raises(KeyError, match="Key is not present"): - wrapped_add(a=1, b=2, state=s) - - -@pytest.mark.asyncio -async def test_argref_by_name_async_functions() -> None: - class MyState: - def __init__(self): - self.refs = {"foo": 1, "bar": 7} - - # Define the async_add function with the decorator - @argref_by_name() - async def async_add(a: int, b: int) -> int: - """Some docstring.""" - return a + b - - s = MyState() - result = await async_add("foo", 2, state=s) - assert s.refs[result.split()[0]] == 1 + 2 - - result = await async_add(6, 2, state=s) - assert s.refs[result.split()[0]] == 6 + 2 - - # Now try with lists - result = await async_add("foo", "bar", state=s) - assert s.refs[result.split()[0]] == 1 + 7 - - # Try the convenience of comma splitting on key - result = await async_add("foo,bar", state=s) - assert s.refs[result.split()[0]] == 1 + 7 - - # Define and test async_list - @argref_by_name() - async def async_list(a: int, b: int) -> list[int]: - """Some docstring.""" - return [a, b] - - result = await async_list("foo", 2, state=s) - name1, name2 = (n.split()[0] for n in result.split("\n")) - assert s.refs[name1] == 1 - assert s.refs[name2] == 2 - - # Define and test async_list_direct - @argref_by_name(return_direct=True) - async def async_list_direct(a: int, b: int) -> list[int]: - """Some docstring.""" - return [a, b] - - assert await async_list_direct("foo", 2, state=s) == [1, 2] - - -@pytest.mark.asyncio -async def test_argref_by_name_advanced_features() -> None: - class MyState: - def __init__(self): - self.refs = {"foo": 1} - - s = MyState() - - # Define and test dereference via no state value found with return_direct - @argref_by_name(return_direct=True) - def skip_deref_test(foo: float, a: str) -> str: - """Some docstring.""" - return f"{foo} {a}" - - assert skip_deref_test("foo", "not in state", state=s) == "1 not in state" - assert skip_deref_test("foo", "foo", state=s) == "1 1" - - # Call in context using Tool and related classes - wrapped_add = argref_by_name(args_to_skip={"b"})(add) - tool = Tool.from_function(wrapped_add) - - tool_call = ToolCall.from_tool(tool, "foo", b=2) - action = ToolRequestMessage(tool_calls=[tool_call]) - my_env = DummyEnv() - my_env.tools = [tool] - new_messages = await my_env.exec_tool_calls(action, state=MyState()) - assert new_messages[0].content.endswith("3") - - # Assert that we can describe the tool - assert tool.info.describe_str() - assert "(Pass a string key instead of the full object)" in tool.info.describe_str() - - # Test state passing with fxn_requires_state - @argref_by_name(fxn_requires_state=True) - async def want_state(a: int, state: MyState) -> int: # noqa: ARG001 - """Some docstring. - - Args: - a: first number - state: the state object - """ - return 2 * a - - tool = Tool.from_function(want_state) - action = ToolRequestMessage(tool_calls=[ToolCall.from_tool(tool, "foo")]) - my_env = DummyEnv() - my_env.tools = [tool] - await my_env.exec_tool_calls(action, state=MyState()) - - # Check we can pass kwarg lists as comma-separated keys - @argref_by_name(return_direct=True) - def kwarg_list_test(a: list[int]) -> int: - return sum(a) - - assert kwarg_list_test(a="foo,foo", state=s) == 2 - - -@pytest.mark.asyncio -async def test_argref_by_name_type_checking() -> None: - class MyInt(int): - pass - - class MyState: - def __init__(self): - self.refs = { - "int_arg": 1, - "str_arg": "abc", - "int_list_arg": [1], - "str_list_arg": ["abc"], - "my_int_list_arg": [MyInt()], - } - - s = MyState() - - def typed_fn(a: int, b) -> int: # noqa: ARG001 - """Some docstring.""" - return a - - # Make sure we can decorate the function twice. Decoration should not - # modify the underlying function or its annotations. - for _ in range(2): - type_checked_fn = argref_by_name(type_check=True)(typed_fn) - - type_checked_fn(a="int_arg", b="str_arg", state=s) # correctly-typed - with pytest.raises(TypeError): - # A non-int value is passed to a by name - type_checked_fn(a="str_arg", b="str_arg", state=s) - - def complex_typed_fn(c: Sequence[int], d: int | str) -> None: - """Some docstring.""" - - for _ in range(2): - type_checked_fn = argref_by_name(type_check=True)(complex_typed_fn) - - type_checked_fn(c="int_list_arg", d="str_arg", state=s) # correctly-typed - # list[MyInt] should match Sequence[int] - type_checked_fn(c="my_int_list_arg", d="str_arg", state=s) - - with pytest.raises(TypeError): - # passing int, not list[int] - type_checked_fn(c="int_arg", d="str_arg", state=s) - - with pytest.raises(TypeError): - # passing list[str], not list[int] - type_checked_fn(c="str_list_arg", d="int_arg", state=s) - - -@pytest.mark.asyncio -async def test_make_tool_server(): - def add(a: int, b: int) -> int: - """Add two numbers.""" - return a + b - - def subtract(a: int, b: int) -> int: - """Subtract two numbers. - - Args: - a: first number - b: second number - """ - return a - b - - class MyEnv(Environment): - async def reset(self) -> tuple[list[Message], list[Tool]]: - tools = [ - Tool.from_function(add, allow_empty_param_descriptions=True), - Tool.from_function(subtract), - ] - self.tools = tools - return [], tools - - async def step(self, action): - return await self.exec_tool_calls(action), False, 0, 0 - - async def export_frame(self): - pass - - with suppress_type_checks(): - server = await make_tool_server(MyEnv) - - # make sure there are two endpoints - route_names = [route.name for route in server.routes] - assert "add" in route_names - assert "subtract" in route_names - - # make sure we can call them - client = TestClient(server) - token = "stub" - with patch.dict(os.environ, {"AUTH_TOKEN": token}): - response = client.post( - "/add", json={"a": 1, "b": 2}, headers={"Authorization": f"Bearer {token}"} - ) - assert response.status_code == 200 - assert response.json()["result"] == "3" diff --git a/tests/test_utils.py b/tests/test_utils.py deleted file mode 100644 index c13a07a4..00000000 --- a/tests/test_utils.py +++ /dev/null @@ -1,40 +0,0 @@ -import pytest - -from aviary.core import eval_answer - - -@pytest.mark.vcr -@pytest.mark.parametrize( - ("proposed", "correct", "question", "eval_mode", "expected"), - [ - pytest.param("\n\n250", "250", None, "exact", True, id="exact"), - pytest.param( - "Answer:\n\n250", "250", None, "exact", False, id="exact with noise" - ), - pytest.param( - "Answer\n\n: 250", "250", None, "contains", True, id="contains with noise" - ), - pytest.param("A)", "A", None, "contains", True, id="contains multiple choice"), - pytest.param( - "The answer is C", "D", None, "contains", False, id="contains wrong answer" - ), - pytest.param( - "Based on all factors considered, the most compelling answer is Gerald, C", - "C", - "Which of the following is most likely true:\n\nA) Piggie, B) Pigeon, C) Gerald\n", - "llm", - True, - id="llm basic", - ), - ], -) -@pytest.mark.asyncio -async def test_eval_answer(proposed, correct, question, eval_mode, expected): - assert await eval_answer(proposed, correct, question, eval_mode) == expected - - -@pytest.mark.vcr -@pytest.mark.asyncio -async def test_eval_llm_config(): - config = {"temperature": 0.5} - assert await eval_answer("250", "250", "What is 25 * 10?", "llm", config) diff --git a/tools.html b/tools.html new file mode 100644 index 00000000..251af78a --- /dev/null +++ b/tools.html @@ -0,0 +1,138 @@ + + + + + + + + tools package — aviary documentation + + + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +
+

tools package¶

+
+

Submodules¶

+
+
+

tools.argref module¶

+
+
+

tools.base module¶

+
+
+

tools.server module¶

+
+
+

tools.utils module¶

+
+
+

Module contents¶

+
+
+ + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/utils.html b/utils.html new file mode 100644 index 00000000..3404f06b --- /dev/null +++ b/utils.html @@ -0,0 +1,136 @@ + + + + + + + + utils module — aviary documentation + + + + + + + + + + + + + + + + + + + +
+
+
+ + +
+ +
+

utils module¶

+
+
+utils.encode_image_to_base64(img: np.ndarray) → str[source]¶
+

Encode an image to a base64 string, to be included as an image_url in a Message.

+
+ +
+
+utils.is_coroutine_callable(obj) → bool[source]¶
+

Get if the input object is awaitable.

+
+ +
+
+utils.partial_format(value: str, **formats: dict[str, Any]) → str[source]¶
+

Partially format a string given a variable amount of formats.

+
+ +
+ + +
+ +
+
+ +
+
+
+ ©2024, FutureHouse. + + | + Powered by Sphinx 8.1.3 + & Alabaster 1.0.0 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/uv.lock b/uv.lock deleted file mode 100644 index 04f6cdd4..00000000 --- a/uv.lock +++ /dev/null @@ -1,2717 +0,0 @@ -version = 1 -requires-python = ">=3.11" -resolution-markers = [ - "python_full_version < '3.12' and platform_python_implementation == 'PyPy'", - "python_full_version < '3.12' and platform_python_implementation != 'PyPy'", - "python_full_version == '3.12.*' and platform_python_implementation == 'PyPy'", - "python_full_version == '3.12.*' and platform_python_implementation != 'PyPy'", - "python_full_version >= '3.13' and platform_python_implementation == 'PyPy'", - "python_full_version >= '3.13' and platform_python_implementation != 'PyPy'", -] - -[manifest] -members = [ - "aviary-gsm8k", - "aviary-hotpotqa", - "fhaviary", -] - -[[package]] -name = "aiohappyeyeballs" -version = "2.4.3" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/bc/69/2f6d5a019bd02e920a3417689a89887b39ad1e350b562f9955693d900c40/aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", size = 21809 } -wheels = [ - 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