From b5a0ada1e2dd79481c070cbffa44c570c5ca524f Mon Sep 17 00:00:00 2001 From: Ran <90966139+Wzixiao@users.noreply.github.com> Date: Wed, 1 Nov 2023 00:56:55 +0800 Subject: [PATCH] Mock request (#27) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Add E2E tests (#350) * add basic e2e testing setup * adjust execute test step name * test sidebar chat icon, add testing class * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add sidebar snapshot * test chat sidepanel, extend helper class * adjust welcome message test, add snapshot * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * adjust naming * removeempty line * move ui-tests to packages/jupyter-ai/ * update e2e ci workflow for ui-tests folder move * update ui-tests folder location for yarn.lock hash * run lint locally * Add "Update Playwright Snapshots" CI workflow * change if clause * specify npm client * remove report and artifact specifiers * Update README.md to have correct commands and folders * update e2e/integration test README * Add Integration / E2E testing section to the docs * update wording of docs on snapshots * Ignore all non-linux snapshots * Update packages/jupyter-ai/ui-tests/README.md Co-authored-by: Piyush Jain * remove cd command that would return users back to root * remove cd ../../../ * Remove repeating setup instructions * Add suggestion to generate snapshots before the 1st run * remove unnecessary link anchor * remove rudimentary jlpm build --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Piyush Jain * Adds chat anthropic provider, new models (#391) * Adds chat anthropic provider, new models * Added docs for anthropic chat * Upgraded LangChain, fixed prompts for Bedrock * Updated docs for bedrock-chat * Added bedrock embeddings, refactored chat vs reg models * Fixed magics * Removed unused import * Updated provider list. Added bedrock and bedrock-chat to provider list. * Publish 2.3.0 SHA256 hashes: jupyter-ai-core-2.3.0.tgz: 8f37fe0f15b6f09b2eeb649ac972d2749427ed3668a03ffae9cf5b5f8f37a8ce jupyter_ai-2.3.0-py3-none-any.whl: 09e264c40f05ef34cd188dd5804d22afe43a91e4c82ed729428377bd5c581263 jupyter_ai-2.3.0.tar.gz: 8ce44b88528195e6de1f9086994d68731b1dbbc03f0e8709baf5a8819c254462 jupyter_ai_magics-2.3.0-py3-none-any.whl: 714cf33746c121ef2b5d5c45b4460e690d6815b306a3f5f7224008866e794602 jupyter_ai_magics-2.3.0.tar.gz: 37554e53d3576a6c8938e5812764efe7749dfeda2f47d5e551111d2f6d8a5c48 * [pre-commit.ci] pre-commit autoupdate (#344) updates: - [github.com/pre-commit/pre-commit-hooks: v4.4.0 → v4.5.0](https://github.com/pre-commit/pre-commit-hooks/compare/v4.4.0...v4.5.0) - [github.com/psf/black: 23.7.0 → 23.9.1](https://github.com/psf/black/compare/23.7.0...23.9.1) - [github.com/asottile/pyupgrade: v3.10.1 → v3.15.0](https://github.com/asottile/pyupgrade/compare/v3.10.1...v3.15.0) - [github.com/sirosen/check-jsonschema: 0.23.3 → 0.27.0](https://github.com/sirosen/check-jsonschema/compare/0.23.3...0.27.0) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Add key completion code completion * Add developer readme * Fix the bug of remote call not using stram * Comment out useless methods and improve development documentation * Updates for more stable generate feature * Refactored generate for better stability with all providers/models. * Upgraded LangChain to 0.0.318 * Updated to use memory instead of chat history, fix for Bedrock Anthropic * Optimize code naming * Fixed the issue where enter would intercept automatic requests * Fixed the issue where enter fails when pressing the ghost text to start. * Allow to define block and allow lists for providers (#415) * Allow to block or allow-list providers by id * Add tests for block/allow-lists * Fix "No language model is associated with" issue This was appearing because the models which are blocked were not returned (correctly!) but the previous validation logic did not know that sometimes models may be missing for a valid reason even if there are existing settings for these. * Add docs for allow listing and block listing providers * Updated docs * Added an intro block to docs * Updated the docs --------- Co-authored-by: Piyush Jain * Publish 2.4.0 SHA256 hashes: jupyter-ai-core-2.4.0.tgz: 04773e2b888853cd1c27785ac3c8434226e9a279a2fd253962cb20e5e9f72c1d jupyter_ai-2.4.0-py3-none-any.whl: a5880cc108a107c746935d7eaa2513dffa29d2812e6628fd22a972a97aba4e2a jupyter_ai-2.4.0.tar.gz: 0d065b18f4985fb726010e76d9c6059932e21327ea2951ccaa18b6e7b5189240 jupyter_ai_magics-2.4.0-py3-none-any.whl: 585bd960ac5c254e28ea165db840276883155a0a720720aa850e3272edc2001e jupyter_ai_magics-2.4.0.tar.gz: 2cdfb1e084aad46cdbbfb4eed64b4e7abc96ad7fde31da2ddb6899225dfa0684 * Complete autocomplete * Animations now also exist on automatic requests * Remove DEVELOP.md * Added toggle for selecting mock tests * Make the code neater --------- Co-authored-by: Andrii Ieroshenko Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Piyush Jain Co-authored-by: dlqqq Co-authored-by: cjq <1401875340@qq.com> Co-authored-by: Michał Krassowski <5832902+krassowski@users.noreply.github.com> Co-authored-by: 3coins <3coins@users.noreply.github.com> --- .github/workflows/e2e-tests.yml | 59 + .github/workflows/update-snapshots.yml | 52 + .pre-commit-config.yaml | 8 +- CHANGELOG.md | 68 +- docs/source/contributors/index.md | 35 + docs/source/users/index.md | 35 + lerna.json | 2 +- package-lock.json | 19822 ++++++++++++++++ package.json | 2 +- .../jupyter_ai_magics/__init__.py | 3 + .../jupyter_ai_magics/embedding_providers.py | 20 +- .../jupyter_ai_magics/magics.py | 15 +- .../jupyter_ai_magics/providers.py | 104 +- .../jupyter_ai_magics/tests/test_utils.py | 34 + .../jupyter_ai_magics/utils.py | 32 +- packages/jupyter-ai-magics/package.json | 2 +- packages/jupyter-ai-magics/pyproject.toml | 7 +- packages/jupyter-ai/.gitignore | 4 + .../jupyter_ai/chat_handlers/ask.py | 30 +- .../jupyter_ai/chat_handlers/base.py | 1 + .../jupyter_ai/chat_handlers/default.py | 40 +- .../jupyter_ai/chat_handlers/generate.py | 115 +- .../jupyter_ai/chat_handlers/learn.py | 2 +- .../jupyter-ai/jupyter_ai/config_manager.py | 15 + packages/jupyter-ai/jupyter_ai/extension.py | 30 +- .../jupyter_ai/tests/test_config_manager.py | 2 + .../jupyter_ai/tests/test_extension.py | 39 + packages/jupyter-ai/package.json | 3 +- packages/jupyter-ai/pyproject.toml | 3 +- .../src/bigcode-Inline-completion-provider.ts | 431 + .../src/bigcode/bigcode-code-completion.ts | 188 - .../src/components/bigcode-settings.tsx | 17 +- .../components/settings/existing-api-keys.tsx | 2 +- .../contexts/code-completion-context-store.ts | 23 +- packages/jupyter-ai/src/index.ts | 56 +- ...andler.ts => inline-completion-handler.ts} | 81 +- packages/jupyter-ai/src/utils/animation.ts | 79 - .../jupyter-ai/src/utils/bigcode-request.ts | 215 +- packages/jupyter-ai/src/utils/cell-context.ts | 110 +- .../jupyter-ai/src/utils/cell-modification.ts | 195 - packages/jupyter-ai/src/utils/instance.ts | 4 +- packages/jupyter-ai/ui-tests/README.md | 86 +- .../ui-tests/jupyter_server_test_config.py | 12 +- packages/jupyter-ai/ui-tests/package.json | 11 +- .../ui-tests/tests/helpers/AIHelper.ts | 68 + .../ui-tests/tests/jupyter-ai.spec.ts | 29 + .../chat-welcome-message-linux.png | Bin 0 -> 16744 bytes .../sidebar-linux.png | Bin 0 -> 2246 bytes .../ui-tests/tests/jupyter_ai.spec.ts | 21 - packages/jupyter-ai/ui-tests/yarn.lock | 4363 ++++ yarn.lock | 3077 +-- 51 files changed, 27415 insertions(+), 2237 deletions(-) create mode 100644 .github/workflows/e2e-tests.yml create mode 100644 .github/workflows/update-snapshots.yml create mode 100644 package-lock.json create mode 100644 packages/jupyter-ai-magics/jupyter_ai_magics/tests/test_utils.py create mode 100644 packages/jupyter-ai/jupyter_ai/tests/test_extension.py create mode 100644 packages/jupyter-ai/src/bigcode-Inline-completion-provider.ts delete mode 100644 packages/jupyter-ai/src/bigcode/bigcode-code-completion.ts rename packages/jupyter-ai/src/{keydown-handler.ts => inline-completion-handler.ts} (67%) delete mode 100644 packages/jupyter-ai/src/utils/animation.ts delete mode 100644 packages/jupyter-ai/src/utils/cell-modification.ts create mode 100644 packages/jupyter-ai/ui-tests/tests/helpers/AIHelper.ts create mode 100644 packages/jupyter-ai/ui-tests/tests/jupyter-ai.spec.ts create mode 100644 packages/jupyter-ai/ui-tests/tests/jupyter-ai.spec.ts-snapshots/chat-welcome-message-linux.png create mode 100644 packages/jupyter-ai/ui-tests/tests/jupyter-ai.spec.ts-snapshots/sidebar-linux.png delete mode 100644 packages/jupyter-ai/ui-tests/tests/jupyter_ai.spec.ts create mode 100644 packages/jupyter-ai/ui-tests/yarn.lock diff --git a/.github/workflows/e2e-tests.yml b/.github/workflows/e2e-tests.yml new file mode 100644 index 000000000..1bb9a8f5f --- /dev/null +++ b/.github/workflows/e2e-tests.yml @@ -0,0 +1,59 @@ +name: E2E Tests + +# suppress warning raised by https://github.com/jupyter/jupyter_core/pull/292 +env: + JUPYTER_PLATFORM_DIRS: '1' + +on: + push: + branches: main + pull_request: + branches: '*' + +jobs: + e2e-tests: + name: Linux + runs-on: ubuntu-latest + + env: + PLAYWRIGHT_BROWSERS_PATH: ${{ github.workspace }}/pw-browsers + + steps: + - name: Checkout + uses: actions/checkout@v2 + + - name: Base Setup + uses: jupyterlab/maintainer-tools/.github/actions/base-setup@v1 + + - name: Install extension dependencies and build the extension + run: ./scripts/install.sh + + - name: Install ui-tests dependencies + working-directory: packages/jupyter-ai/ui-tests + env: + PLAYWRIGHT_SKIP_BROWSER_DOWNLOAD: 1 + run: jlpm install + + - name: Set up browser cache + uses: actions/cache@v2 + with: + path: | + ${{ github.workspace }}/pw-browsers + key: ${{ runner.os }}-${{ hashFiles('packages/jupyter-ai/ui-tests/yarn.lock') }} + + - name: Install browser + working-directory: packages/jupyter-ai/ui-tests + run: jlpm install-chromium + + - name: Execute e2e tests + working-directory: packages/jupyter-ai/ui-tests + run: jlpm test + + - name: Upload Playwright Test report + if: always() + uses: actions/upload-artifact@v2 + with: + name: jupyter-ai-playwright-tests-linux + path: | + packages/jupyter-ai/ui-tests/test-results + packages/jupyter-ai/ui-tests/playwright-report diff --git a/.github/workflows/update-snapshots.yml b/.github/workflows/update-snapshots.yml new file mode 100644 index 000000000..22d1c65cc --- /dev/null +++ b/.github/workflows/update-snapshots.yml @@ -0,0 +1,52 @@ +name: Update Playwright Snapshots + +on: + issue_comment: + types: [created, edited] + workflow_dispatch: + inputs: + number: + description: 'PR number' + required: true + +permissions: + contents: write + pull-requests: write + +jobs: + update-snapshots: + if: ${{ github.event.inputs || (github.event.issue.pull_request && contains(github.event.comment.body, 'please update playwright snapshots')) }} + runs-on: ubuntu-latest + + steps: + - name: Checkout + uses: actions/checkout@v3 + with: + token: ${{ secrets.GITHUB_TOKEN }} + + - name: Configure git to use https + run: git config --global hub.protocol https + + - name: Checkout the branch from the PR that triggered the job + run: hub pr checkout ${{ github.event.inputs.number || github.event.issue.number }} + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + + - name: Base Setup + uses: jupyterlab/maintainer-tools/.github/actions/base-setup@v1 + + - name: Install extension dependencies and build the extension + run: ./scripts/install.sh + + - uses: jupyterlab/maintainer-tools/.github/actions/update-snapshots@v1 + with: + github_token: ${{ secrets.GITHUB_TOKEN }} + start_server_script: 'null' + test_folder: packages/jupyter-ai/ui-tests + npm_client: jlpm + + - name: Comment back on the PR + run: | + hub api repos/${{ github.repository }}/issues/${{ github.event.inputs.number || github.event.issue.number }}/comments --raw-field 'body=Playwright snapshots updated.' + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 04dc7652a..eef4d9290 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,6 +1,6 @@ repos: - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.4.0 + rev: v4.5.0 hooks: - id: end-of-file-fixer - id: check-case-conflict @@ -18,7 +18,7 @@ repos: - id: trailing-whitespace - repo: https://github.com/psf/black - rev: 23.7.0 + rev: 23.9.1 hooks: - id: black @@ -30,7 +30,7 @@ repos: files: \.py$ - repo: https://github.com/asottile/pyupgrade - rev: v3.10.1 + rev: v3.15.0 hooks: - id: pyupgrade args: [--py37-plus] @@ -48,7 +48,7 @@ repos: stages: [manual] - repo: https://github.com/sirosen/check-jsonschema - rev: 0.23.3 + rev: 0.27.0 hooks: - id: check-jsonschema name: "Check GitHub Workflows" diff --git a/CHANGELOG.md b/CHANGELOG.md index e7e78a97d..0e6907299 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,6 +2,72 @@ +## 2.4.0 + +([Full Changelog](https://github.com/jupyterlab/jupyter-ai/compare/@jupyter-ai/core@2.3.0...92dab10608ea090b6bd87ca5ffe9ccff7a15b449)) + +Hey Jupyternauts! We're excited to announce the 2.4.0 release of Jupyter AI, which includes better support for Bedrock Anthropic models. Thanks to [@krassowski](https://github.com/krassowski) for providing a new feature in Jupyter AI that let's admins specify allowlists and blocklists to filter the list of providers available in the chat settings panel. + +### Enhancements made + +- Allow to define block and allow lists for providers [#415](https://github.com/jupyterlab/jupyter-ai/pull/415) ([@krassowski](https://github.com/krassowski)) + +### Bugs fixed + +- Refactor generate for better stability with all providers/models [#407](https://github.com/jupyterlab/jupyter-ai/pull/407) ([@3coins](https://github.com/3coins)) + +### Maintenance and upkeep improvements + +### Contributors to this release + +([GitHub contributors page for this release](https://github.com/jupyterlab/jupyter-ai/graphs/contributors?from=2023-10-09&to=2023-10-24&type=c)) + +[@3coins](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3A3coins+updated%3A2023-10-09..2023-10-24&type=Issues) | [@krassowski](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Akrassowski+updated%3A2023-10-09..2023-10-24&type=Issues) | [@pre-commit-ci](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Apre-commit-ci+updated%3A2023-10-09..2023-10-24&type=Issues) + + + +## 2.3.0 + +([Full Changelog](https://github.com/jupyterlab/jupyter-ai/compare/@jupyter-ai/core@2.2.0...7f854007263f1a9393e41611028d7cc57313c577)) + +Hey Jupyternauts! We're excited to announce the 2.3.0 release of Jupyter AI, which includes better support for Anthropic models and integration with Amazon Bedrock. + +There is also a significant change to how Jupyter AI settings are handled (see #353). The most significant changes are: + +1. **API key values can no longer be read from the client.** This was taken as a security measure to prevent accidental leakage of keys. You can still update existing API keys if you do decide to change your key in the future. +1. **The settings can not be updated if they were updated by somebody else after you opened the settings panel.** This prevents different users connecting to the same server from clobbering updates from each other. +1. **There is now a much better UI for updating and deleting API keys.** We hope you enjoy it. + +Updating to 2.3.0 shouldn't require any changes on your end. However, if you notice an error, please submit a bug report with the server logs emitted in the terminal from the `jupyter lab` process. Renaming the config file `$JUPYTER_DATA_DIR/jupyter_ai/config.json` to some other name and then restarting `jupyter lab` may fix the issue if it is a result of the new config changes. + +### Enhancements made + +- Adds chat anthropic provider, new models [#391](https://github.com/jupyterlab/jupyter-ai/pull/391) ([@3coins](https://github.com/3coins)) +- Adds help text for registry model providers in chat UI settings [#373](https://github.com/jupyterlab/jupyter-ai/pull/373) ([@JasonWeill](https://github.com/JasonWeill)) +- jupyter_ai and jupyter_ai_magics version match [#367](https://github.com/jupyterlab/jupyter-ai/pull/367) ([@JasonWeill](https://github.com/JasonWeill)) +- Config V2 [#353](https://github.com/jupyterlab/jupyter-ai/pull/353) ([@dlqqq](https://github.com/dlqqq)) +- Add E2E tests [#350](https://github.com/jupyterlab/jupyter-ai/pull/350) ([@andrii-i](https://github.com/andrii-i)) + +### Bugs fixed + +- Upgraded LangChain, fixed prompts for Bedrock [#401](https://github.com/jupyterlab/jupyter-ai/pull/401) ([@3coins](https://github.com/3coins)) +- Adds chat anthropic provider, new models [#391](https://github.com/jupyterlab/jupyter-ai/pull/391) ([@3coins](https://github.com/3coins)) + +### Maintenance and upkeep improvements + +- Upgraded LangChain, fixed prompts for Bedrock [#401](https://github.com/jupyterlab/jupyter-ai/pull/401) ([@3coins](https://github.com/3coins)) +- Add E2E tests [#350](https://github.com/jupyterlab/jupyter-ai/pull/350) ([@andrii-i](https://github.com/andrii-i)) + +### Documentation improvements + +- jupyter_ai and jupyter_ai_magics version match [#367](https://github.com/jupyterlab/jupyter-ai/pull/367) ([@JasonWeill](https://github.com/JasonWeill)) + +### Contributors to this release + +([GitHub contributors page for this release](https://github.com/jupyterlab/jupyter-ai/graphs/contributors?from=2023-09-05&to=2023-10-09&type=c)) + +[@3coins](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3A3coins+updated%3A2023-09-05..2023-10-09&type=Issues) | [@andrii-i](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Aandrii-i+updated%3A2023-09-05..2023-10-09&type=Issues) | [@dlqqq](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Adlqqq+updated%3A2023-09-05..2023-10-09&type=Issues) | [@JasonWeill](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3AJasonWeill+updated%3A2023-09-05..2023-10-09&type=Issues) | [@krassowski](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Akrassowski+updated%3A2023-09-05..2023-10-09&type=Issues) + ## 2.2.0 ([Full Changelog](https://github.com/jupyterlab/jupyter-ai/compare/@jupyter-ai/core@2.1.0...56c1f518afd09d0d09a43221f0767aa961e9430f)) @@ -32,8 +98,6 @@ [@3coins](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3A3coins+updated%3A2023-08-15..2023-09-05&type=Issues) | [@andrii-i](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Aandrii-i+updated%3A2023-08-15..2023-09-05&type=Issues) | [@JasonWeill](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3AJasonWeill+updated%3A2023-08-15..2023-09-05&type=Issues) | [@krassowski](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Akrassowski+updated%3A2023-08-15..2023-09-05&type=Issues) | [@michaelchia](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Amichaelchia+updated%3A2023-08-15..2023-09-05&type=Issues) | [@minrk](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Aminrk+updated%3A2023-08-15..2023-09-05&type=Issues) | [@welcome](https://github.com/search?q=repo%3Ajupyterlab%2Fjupyter-ai+involves%3Awelcome+updated%3A2023-08-15..2023-09-05&type=Issues) - - ## 2.1.0 ([Full Changelog](https://github.com/jupyterlab/jupyter-ai/compare/@jupyter-ai/core@2.0.1...c689c6c0cce5212238943ec2ff1559f6ad2f63d5)) diff --git a/docs/source/contributors/index.md b/docs/source/contributors/index.md index f3cd3be9a..b15e81d89 100644 --- a/docs/source/contributors/index.md +++ b/docs/source/contributors/index.md @@ -117,3 +117,38 @@ To uninstall your Jupyter AI development environment, deactivate and remove the conda deactivate conda env remove -n jupyter-ai ``` + +## Testing + +### Integration / E2E tests + +This extension uses Playwright for the integration / E2E tests (user-level tests). +More precisely, the JupyterLab helper +[Galata](https://github.com/jupyterlab/jupyterlab/tree/master/galata) is used to +test the extension in JupyterLab. + +Install test dependencies (needed only once): + +```sh +cd ./packages/jupyter-ai/ui-tests/ +jlpm install +jlpm playwright install +``` + +Tests involve snapshot comparisons against a reference snapshots generated by the Github CI. If you are using an OS other than Linux, you will need to generate local snapshots before running the tests locally for the first time. To do this, execute the command: + +```sh +cd ./packages/jupyter-ai/ui-tests/ +jlpm test:update +``` + +To execute tests, run: + +```sh +cd ./packages/jupyter-ai/ui-tests/ +jlpm test +``` + +You can find more information in the +[ui-tests](https://github.com/jupyterlab/jupyter-ai/tree/main/packages/jupyter-ai/ui-tests) +README. diff --git a/docs/source/users/index.md b/docs/source/users/index.md index ad7b717b5..95606f371 100644 --- a/docs/source/users/index.md +++ b/docs/source/users/index.md @@ -116,7 +116,9 @@ Jupyter AI supports the following model providers: |---------------------|----------------------|----------------------------|---------------------------------| | AI21 | `ai21` | `AI21_API_KEY` | `ai21` | | Anthropic | `anthropic` | `ANTHROPIC_API_KEY` | `anthropic` | +| Anthropic (chat) | `anthropic-chat` | `ANTHROPIC_API_KEY` | `anthropic` | | Bedrock | `amazon-bedrock` | N/A | `boto3` | +| Bedrock (chat) | `amazon-bedrock-chat`| N/A | `boto3` | | Cohere | `cohere` | `COHERE_API_KEY` | `cohere` | | Hugging Face Hub | `huggingface_hub` | `HUGGINGFACEHUB_API_TOKEN` | `huggingface_hub`, `ipywidgets`, `pillow` | | OpenAI | `openai` | `OPENAI_API_KEY` | `openai` | @@ -464,6 +466,9 @@ We currently support the following language model providers: - `ai21` - `anthropic` +- `anthropic-chat` +- `bedrock` +- `bedrock-chat` - `cohere` - `huggingface_hub` - `openai` @@ -783,3 +788,33 @@ Max prompt tokens: Max response tokens: - Set 'Max Response Tokens' judiciously; a higher value can slow response times, and since we don't support streaming, you'll await the entire response. + +## Configuration + +You can specify an allowlist, to only allow only a certain list of providers, or a blocklist, to block some providers. + +### Blocklisting providers +This configuration allows for blocking specific providers in the settings panel. This list takes precedence over the allowlist in the next section. + +``` +jupyter lab --AiExtension.blocked_providers=openai +``` + +To block more than one provider in the block-list, repeat the runtime configuration. + +``` +jupyter lab --AiExtension.blocked_providers=openai --AiExtension.blocked_providers=ai21 +``` + +### Allowlisting providers +This configuration allows for filtering the list of providers in the settings panel to only an allowlisted set of providers. + +``` +jupyter lab --AiExtension.allowed_providers=openai +``` + +To allow more than one provider in the allowlist, repeat the runtime configuration. + +``` +jupyter lab --AiExtension.allowed_providers=openai --AiExtension.allowed_providers=ai21 +``` diff --git a/lerna.json b/lerna.json index b3c956cad..2c270143d 100644 --- a/lerna.json +++ b/lerna.json @@ -1,7 +1,7 @@ { "$schema": "node_modules/lerna/schemas/lerna-schema.json", "useWorkspaces": true, - "version": "2.2.0", + "version": "2.4.0", "npmClient": "yarn", 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"^14.3.0", + "stylelint-config-prettier": "^9.0.4", + "stylelint-config-recommended": "^6.0.0", + "stylelint-config-standard": "~24.0.0", + "stylelint-prettier": "^2.0.0", + "ts-jest": "^29", + "typescript": "5.1.6", + "y-protocols": "^1.0.5" + } + }, + "packages/jupyter-ai-magics": { + "name": "@jupyter-ai/magics", + "version": "2.2.0", + "license": "BSD-3-Clause" + } + } +} diff --git a/package.json b/package.json index 09b89e11e..4db946244 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "@jupyter-ai/monorepo", - "version": "2.2.0", + "version": "2.4.0", "description": "A generative AI extension for JupyterLab", "private": true, "keywords": [ diff --git a/packages/jupyter-ai-magics/jupyter_ai_magics/__init__.py b/packages/jupyter-ai-magics/jupyter_ai_magics/__init__.py index 60020823a..ba756a452 100644 --- a/packages/jupyter-ai-magics/jupyter_ai_magics/__init__.py +++ b/packages/jupyter-ai-magics/jupyter_ai_magics/__init__.py @@ -2,6 +2,7 @@ # expose embedding model providers on the package root from .embedding_providers import ( + BedrockEmbeddingsProvider, CohereEmbeddingsProvider, HfHubEmbeddingsProvider, OpenAIEmbeddingsProvider, @@ -15,7 +16,9 @@ AnthropicProvider, AzureChatOpenAIProvider, BaseProvider, + BedrockChatProvider, BedrockProvider, + ChatAnthropicProvider, ChatOpenAINewProvider, ChatOpenAIProvider, CohereProvider, diff --git a/packages/jupyter-ai-magics/jupyter_ai_magics/embedding_providers.py b/packages/jupyter-ai-magics/jupyter_ai_magics/embedding_providers.py index bdfd7012c..5fe522beb 100644 --- a/packages/jupyter-ai-magics/jupyter_ai_magics/embedding_providers.py +++ b/packages/jupyter-ai-magics/jupyter_ai_magics/embedding_providers.py @@ -1,7 +1,13 @@ from typing import ClassVar, List, Type -from jupyter_ai_magics.providers import AuthStrategy, EnvAuthStrategy, Field +from jupyter_ai_magics.providers import ( + AuthStrategy, + AwsAuthStrategy, + EnvAuthStrategy, + Field, +) from langchain.embeddings import ( + BedrockEmbeddings, CohereEmbeddings, HuggingFaceHubEmbeddings, OpenAIEmbeddings, @@ -54,7 +60,8 @@ def __init__(self, *args, **kwargs): ) model_kwargs = {} - model_kwargs[self.__class__.model_id_key] = kwargs["model_id"] + if self.__class__.model_id_key != "model_id": + model_kwargs[self.__class__.model_id_key] = kwargs["model_id"] super().__init__(*args, **kwargs, **model_kwargs) @@ -88,3 +95,12 @@ class HfHubEmbeddingsProvider(BaseEmbeddingsProvider, HuggingFaceHubEmbeddings): pypi_package_deps = ["huggingface_hub", "ipywidgets"] auth_strategy = EnvAuthStrategy(name="HUGGINGFACEHUB_API_TOKEN") registry = True + + +class BedrockEmbeddingsProvider(BaseEmbeddingsProvider, BedrockEmbeddings): + id = "bedrock" + name = "Bedrock" + models = ["amazon.titan-embed-text-v1"] + model_id_key = "model_id" + pypi_package_deps = ["boto3"] + auth_strategy = AwsAuthStrategy() diff --git a/packages/jupyter-ai-magics/jupyter_ai_magics/magics.py b/packages/jupyter-ai-magics/jupyter_ai_magics/magics.py index 47ee9558f..b5741a19b 100644 --- a/packages/jupyter-ai-magics/jupyter_ai_magics/magics.py +++ b/packages/jupyter-ai-magics/jupyter_ai_magics/magics.py @@ -13,6 +13,7 @@ from IPython.display import HTML, JSON, Markdown, Math from jupyter_ai_magics.utils import decompose_model_id, get_lm_providers from langchain.chains import LLMChain +from langchain.schema import HumanMessage from .parsers import ( CellArgs, @@ -125,6 +126,12 @@ def __init__(self, shell): "no longer supported. Instead, please use: " "`from langchain.chat_models import ChatOpenAI`", ) + # suppress warning when using old Anthropic provider + warnings.filterwarnings( + "ignore", + message="This Anthropic LLM is deprecated. Please use " + "`from langchain.chat_models import ChatAnthropic` instead", + ) self.providers = get_lm_providers() @@ -529,8 +536,12 @@ def run_ai_cell(self, args: CellArgs, prompt: str): ip = get_ipython() prompt = prompt.format_map(FormatDict(ip.user_ns)) - # generate output from model via provider - result = provider.generate([prompt]) + if provider.is_chat_provider: + result = provider.generate([[HumanMessage(content=prompt)]]) + else: + # generate output from model via provider + result = provider.generate([prompt]) + output = result.generations[0][0].text # if openai-chat, append exchange to transcript diff --git a/packages/jupyter-ai-magics/jupyter_ai_magics/providers.py b/packages/jupyter-ai-magics/jupyter_ai_magics/providers.py index 149cf9fd8..9fdbffa7a 100644 --- a/packages/jupyter-ai-magics/jupyter_ai_magics/providers.py +++ b/packages/jupyter-ai-magics/jupyter_ai_magics/providers.py @@ -8,8 +8,13 @@ from typing import Any, ClassVar, Coroutine, Dict, List, Literal, Optional, Union from jsonpath_ng import parse -from langchain import PromptTemplate -from langchain.chat_models import AzureChatOpenAI, ChatOpenAI +from langchain.chat_models import ( + AzureChatOpenAI, + BedrockChat, + ChatAnthropic, + ChatOpenAI, +) +from langchain.chat_models.base import BaseChatModel from langchain.llms import ( AI21, Anthropic, @@ -23,6 +28,8 @@ ) from langchain.llms.sagemaker_endpoint import LLMContentHandler from langchain.llms.utils import enforce_stop_tokens +from langchain.prompts import PromptTemplate +from langchain.schema import LLMResult from langchain.utils import get_from_dict_or_env from pydantic import BaseModel, Extra, root_validator @@ -187,6 +194,18 @@ async def _call_in_executor(self, *args, **kwargs) -> Coroutine[Any, Any, str]: _call_with_args = functools.partial(self._call, *args, **kwargs) return await loop.run_in_executor(executor, _call_with_args) + async def _generate_in_executor( + self, *args, **kwargs + ) -> Coroutine[Any, Any, LLMResult]: + """ + Calls self._generate() asynchronously in a separate thread for providers + without an async implementation. Requires the event loop to be running. + """ + executor = ThreadPoolExecutor(max_workers=1) + loop = asyncio.get_running_loop() + _call_with_args = functools.partial(self._generate, *args, **kwargs) + return await loop.run_in_executor(executor, _call_with_args) + def update_prompt_template(self, format: str, template: str): """ Changes the class-level prompt template for a given format. @@ -204,6 +223,14 @@ def get_prompt_template(self, format) -> PromptTemplate: else: return self.prompt_templates["text"] # Default to plain format + @property + def is_chat_provider(self): + return isinstance(self, BaseChatModel) + + @property + def allows_concurrency(self): + return True + class AI21Provider(BaseProvider, AI21): id = "ai21" @@ -235,13 +262,41 @@ class AnthropicProvider(BaseProvider, Anthropic): "claude-v1.0", "claude-v1.2", "claude-2", + "claude-2.0", + "claude-instant-v1", + "claude-instant-v1.0", + "claude-instant-v1.2", + ] + model_id_key = "model" + pypi_package_deps = ["anthropic"] + auth_strategy = EnvAuthStrategy(name="ANTHROPIC_API_KEY") + + @property + def allows_concurrency(self): + return False + + +class ChatAnthropicProvider(BaseProvider, ChatAnthropic): + id = "anthropic-chat" + name = "ChatAnthropic" + models = [ + "claude-v1", + "claude-v1.0", + "claude-v1.2", + "claude-2", + "claude-2.0", "claude-instant-v1", "claude-instant-v1.0", + "claude-instant-v1.2", ] model_id_key = "model" pypi_package_deps = ["anthropic"] auth_strategy = EnvAuthStrategy(name="ANTHROPIC_API_KEY") + @property + def allows_concurrency(self): + return False + class CohereProvider(BaseProvider, Cohere): id = "cohere" @@ -576,16 +631,53 @@ class BedrockProvider(BaseProvider, Bedrock): id = "bedrock" name = "Amazon Bedrock" models = [ - "amazon.titan-tg1-large", + "amazon.titan-text-express-v1", + "ai21.j2-ultra-v1", + "ai21.j2-mid-v1", + "cohere.command-text-v14", + ] + model_id_key = "model_id" + pypi_package_deps = ["boto3"] + auth_strategy = AwsAuthStrategy() + fields = [ + TextField( + key="credentials_profile_name", + label="AWS profile (optional)", + format="text", + ), + TextField(key="region_name", label="Region name (optional)", format="text"), + ] + + async def _acall(self, *args, **kwargs) -> Coroutine[Any, Any, str]: + return await self._call_in_executor(*args, **kwargs) + + +class BedrockChatProvider(BaseProvider, BedrockChat): + id = "bedrock-chat" + name = "Amazon Bedrock Chat" + models = [ "anthropic.claude-v1", - "anthropic.claude-instant-v1", "anthropic.claude-v2", - "ai21.j2-jumbo-instruct", - "ai21.j2-grande-instruct", + "anthropic.claude-instant-v1", ] model_id_key = "model_id" pypi_package_deps = ["boto3"] auth_strategy = AwsAuthStrategy() + fields = [ + TextField( + key="credentials_profile_name", + label="AWS profile (optional)", + format="text", + ), + TextField(key="region_name", label="Region name (optional)", format="text"), + ] async def _acall(self, *args, **kwargs) -> Coroutine[Any, Any, str]: return await self._call_in_executor(*args, **kwargs) + + async def _agenerate(self, *args, **kwargs) -> Coroutine[Any, Any, LLMResult]: + return await self._generate_in_executor(*args, **kwargs) + + @property + def allows_concurrency(self): + return not "anthropic" in self.model_id diff --git a/packages/jupyter-ai-magics/jupyter_ai_magics/tests/test_utils.py b/packages/jupyter-ai-magics/jupyter_ai_magics/tests/test_utils.py new file mode 100644 index 000000000..e1c517ebe --- /dev/null +++ b/packages/jupyter-ai-magics/jupyter_ai_magics/tests/test_utils.py @@ -0,0 +1,34 @@ +# Copyright (c) Jupyter Development Team. +# Distributed under the terms of the Modified BSD License. + +import pytest +from jupyter_ai_magics.utils import get_lm_providers + +KNOWN_LM_A = "openai" +KNOWN_LM_B = "huggingface_hub" + + +@pytest.mark.parametrize( + "restrictions", + [ + {"allowed_providers": None, "blocked_providers": None}, + {"allowed_providers": [], "blocked_providers": []}, + {"allowed_providers": [], "blocked_providers": [KNOWN_LM_B]}, + {"allowed_providers": [KNOWN_LM_A], "blocked_providers": []}, + ], +) +def test_get_lm_providers_not_restricted(restrictions): + a_not_restricted = get_lm_providers(None, restrictions) + assert KNOWN_LM_A in a_not_restricted + + +@pytest.mark.parametrize( + "restrictions", + [ + {"allowed_providers": [], "blocked_providers": [KNOWN_LM_A]}, + {"allowed_providers": [KNOWN_LM_B], "blocked_providers": []}, + ], +) +def test_get_lm_providers_restricted(restrictions): + a_not_restricted = get_lm_providers(None, restrictions) + assert KNOWN_LM_A not in a_not_restricted diff --git a/packages/jupyter-ai-magics/jupyter_ai_magics/utils.py b/packages/jupyter-ai-magics/jupyter_ai_magics/utils.py index 6a02c61c8..c651581bc 100644 --- a/packages/jupyter-ai-magics/jupyter_ai_magics/utils.py +++ b/packages/jupyter-ai-magics/jupyter_ai_magics/utils.py @@ -1,5 +1,5 @@ import logging -from typing import Dict, Optional, Tuple, Type, Union +from typing import Dict, List, Literal, Optional, Tuple, Type, Union from importlib_metadata import entry_points from jupyter_ai_magics.aliases import MODEL_ID_ALIASES @@ -11,13 +11,19 @@ EmProvidersDict = Dict[str, BaseEmbeddingsProvider] AnyProvider = Union[BaseProvider, BaseEmbeddingsProvider] ProviderDict = Dict[str, AnyProvider] +ProviderRestrictions = Dict[ + Literal["allowed_providers", "blocked_providers"], Optional[List[str]] +] -def get_lm_providers(log: Optional[Logger] = None) -> LmProvidersDict: +def get_lm_providers( + log: Optional[Logger] = None, restrictions: Optional[ProviderRestrictions] = None +) -> LmProvidersDict: if not log: log = logging.getLogger() log.addHandler(logging.NullHandler()) - + if not restrictions: + restrictions = {"allowed_providers": None, "blocked_providers": None} providers = {} eps = entry_points() model_provider_eps = eps.select(group="jupyter_ai.model_providers") @@ -29,6 +35,9 @@ def get_lm_providers(log: Optional[Logger] = None) -> LmProvidersDict: f"Unable to load model provider class from entry point `{model_provider_ep.name}`." ) continue + if not is_provider_allowed(provider.id, restrictions): + log.info(f"Skipping blocked provider `{provider.id}`.") + continue providers[provider.id] = provider log.info(f"Registered model provider `{provider.id}`.") @@ -36,11 +45,13 @@ def get_lm_providers(log: Optional[Logger] = None) -> LmProvidersDict: def get_em_providers( - log: Optional[Logger] = None, + log: Optional[Logger] = None, restrictions: Optional[ProviderRestrictions] = None ) -> EmProvidersDict: if not log: log = logging.getLogger() log.addHandler(logging.NullHandler()) + if not restrictions: + restrictions = {"allowed_providers": None, "blocked_providers": None} providers = {} eps = entry_points() model_provider_eps = eps.select(group="jupyter_ai.embeddings_model_providers") @@ -52,6 +63,9 @@ def get_em_providers( f"Unable to load embeddings model provider class from entry point `{model_provider_ep.name}`." ) continue + if not is_provider_allowed(provider.id, restrictions): + log.info(f"Skipping blocked provider `{provider.id}`.") + continue providers[provider.id] = provider log.info(f"Registered embeddings model provider `{provider.id}`.") @@ -97,6 +111,16 @@ def get_em_provider( return _get_provider(model_id, em_providers) +def is_provider_allowed(provider_id: str, restrictions: ProviderRestrictions) -> bool: + allowed = restrictions["allowed_providers"] + blocked = restrictions["blocked_providers"] + if blocked and provider_id in blocked: + return False + if allowed and provider_id not in allowed: + return False + return True + + def _get_provider(model_id: str, providers: ProviderDict): provider_id, local_model_id = decompose_model_id(model_id, providers) provider = providers.get(provider_id, None) diff --git a/packages/jupyter-ai-magics/package.json b/packages/jupyter-ai-magics/package.json index fea5f845a..c9e06f3ab 100644 --- a/packages/jupyter-ai-magics/package.json +++ b/packages/jupyter-ai-magics/package.json @@ -1,6 +1,6 @@ { "name": "@jupyter-ai/magics", - "version": "2.2.0", + "version": "2.4.0", "description": "Jupyter AI magics Python package. Not published on NPM.", "private": true, "homepage": "https://github.com/jupyterlab/jupyter-ai", diff --git a/packages/jupyter-ai-magics/pyproject.toml b/packages/jupyter-ai-magics/pyproject.toml index 38d885e7a..7eb8a8644 100644 --- a/packages/jupyter-ai-magics/pyproject.toml +++ b/packages/jupyter-ai-magics/pyproject.toml @@ -24,7 +24,7 @@ dependencies = [ "ipython", "pydantic~=1.0", "importlib_metadata>=5.2.0", - "langchain==0.0.277", + "langchain==0.0.318", "typing_extensions>=4.5.0", "click~=8.0", "jsonpath-ng>=1.5.3,<2", @@ -44,7 +44,7 @@ test = [ all = [ "ai21", - "anthropic~=0.2.10", + "anthropic~=0.3.0", "cohere", "gpt4all", "huggingface_hub", @@ -66,8 +66,11 @@ openai-chat-new = "jupyter_ai_magics:ChatOpenAINewProvider" azure-chat-openai = "jupyter_ai_magics:AzureChatOpenAIProvider" sagemaker-endpoint = "jupyter_ai_magics:SmEndpointProvider" amazon-bedrock = "jupyter_ai_magics:BedrockProvider" +anthropic-chat = "jupyter_ai_magics:ChatAnthropicProvider" +amazon-bedrock-chat = "jupyter_ai_magics:BedrockChatProvider" [project.entry-points."jupyter_ai.embeddings_model_providers"] +bedrock = "jupyter_ai_magics:BedrockEmbeddingsProvider" cohere = "jupyter_ai_magics:CohereEmbeddingsProvider" huggingface_hub = "jupyter_ai_magics:HfHubEmbeddingsProvider" openai = "jupyter_ai_magics:OpenAIEmbeddingsProvider" diff --git a/packages/jupyter-ai/.gitignore b/packages/jupyter-ai/.gitignore index 7198a2ce0..48d71c8b7 100644 --- a/packages/jupyter-ai/.gitignore +++ b/packages/jupyter-ai/.gitignore @@ -125,3 +125,7 @@ dmypy.json # Coverage reports coverage/* junit.xml + +# Ignore all non-linux snapshots +ui-tests/tests/jupyter-ai.spec.ts-snapshots/* +!ui-tests/tests/jupyter-ai.spec.ts-snapshots/*-linux.png diff --git a/packages/jupyter-ai/jupyter_ai/chat_handlers/ask.py b/packages/jupyter-ai/jupyter_ai/chat_handlers/ask.py index 88ddd9c8f..dbc2bd679 100644 --- a/packages/jupyter-ai/jupyter_ai/chat_handlers/ask.py +++ b/packages/jupyter-ai/jupyter_ai/chat_handlers/ask.py @@ -4,14 +4,24 @@ from jupyter_ai.models import HumanChatMessage from jupyter_ai_magics.providers import BaseProvider from langchain.chains import ConversationalRetrievalChain +from langchain.memory import ConversationBufferWindowMemory +from langchain.prompts import PromptTemplate from .base import BaseChatHandler +PROMPT_TEMPLATE = """Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question. + +Chat History: +{chat_history} +Follow Up Input: {question} +Standalone question:""" +CONDENSE_PROMPT = PromptTemplate.from_template(PROMPT_TEMPLATE) + class AskChatHandler(BaseChatHandler): """Processes messages prefixed with /ask. This actor will send the message as input to a RetrieverQA chain, that - follows the Retrieval and Generation (RAG) tehnique to + follows the Retrieval and Generation (RAG) technique to query the documents from the index, and sends this context to the LLM to generate the final reply. """ @@ -27,9 +37,15 @@ def create_llm_chain( self, provider: Type[BaseProvider], provider_params: Dict[str, str] ): self.llm = provider(**provider_params) - self.chat_history = [] + memory = ConversationBufferWindowMemory( + memory_key="chat_history", return_messages=True, k=2 + ) self.llm_chain = ConversationalRetrievalChain.from_llm( - self.llm, self._retriever + self.llm, + self._retriever, + memory=memory, + condense_question_prompt=CONDENSE_PROMPT, + verbose=False, ) async def _process_message(self, message: HumanChatMessage): @@ -44,14 +60,8 @@ async def _process_message(self, message: HumanChatMessage): self.get_llm_chain() try: - # limit chat history to last 2 exchanges - self.chat_history = self.chat_history[-2:] - - result = await self.llm_chain.acall( - {"question": query, "chat_history": self.chat_history} - ) + result = await self.llm_chain.acall({"question": query}) response = result["answer"] - self.chat_history.append((query, response)) self.reply(response, message) except AssertionError as e: self.log.error(e) diff --git a/packages/jupyter-ai/jupyter_ai/chat_handlers/base.py b/packages/jupyter-ai/jupyter_ai/chat_handlers/base.py index 87da6d214..6ad4e4ec8 100644 --- a/packages/jupyter-ai/jupyter_ai/chat_handlers/base.py +++ b/packages/jupyter-ai/jupyter_ai/chat_handlers/base.py @@ -9,6 +9,7 @@ from jupyter_ai.config_manager import ConfigManager, Logger from jupyter_ai.models import AgentChatMessage, HumanChatMessage from jupyter_ai_magics.providers import BaseProvider +from langchain.chat_models.base import BaseChatModel if TYPE_CHECKING: from jupyter_ai.handlers import RootChatHandler diff --git a/packages/jupyter-ai/jupyter_ai/chat_handlers/default.py b/packages/jupyter-ai/jupyter_ai/chat_handlers/default.py index c11b63278..c674a383b 100644 --- a/packages/jupyter-ai/jupyter_ai/chat_handlers/default.py +++ b/packages/jupyter-ai/jupyter_ai/chat_handlers/default.py @@ -2,15 +2,15 @@ from jupyter_ai.models import ChatMessage, ClearMessage, HumanChatMessage from jupyter_ai_magics.providers import BaseProvider -from langchain import ConversationChain +from langchain.chains import ConversationChain from langchain.memory import ConversationBufferWindowMemory from langchain.prompts import ( ChatPromptTemplate, HumanMessagePromptTemplate, MessagesPlaceholder, + PromptTemplate, SystemMessagePromptTemplate, ) -from langchain.schema import AIMessage from .base import BaseChatHandler @@ -25,6 +25,11 @@ The following is a friendly conversation between you and a human. """.strip() +DEFAULT_TEMPLATE = """Current conversation: +{history} +Human: {input} +AI:""" + class DefaultChatHandler(BaseChatHandler): def __init__(self, chat_history: List[ChatMessage], *args, **kwargs): @@ -36,16 +41,29 @@ def create_llm_chain( self, provider: Type[BaseProvider], provider_params: Dict[str, str] ): llm = provider(**provider_params) - prompt_template = ChatPromptTemplate.from_messages( - [ - SystemMessagePromptTemplate.from_template(SYSTEM_PROMPT).format( + + if llm.is_chat_provider: + prompt_template = ChatPromptTemplate.from_messages( + [ + SystemMessagePromptTemplate.from_template(SYSTEM_PROMPT).format( + provider_name=llm.name, local_model_id=llm.model_id + ), + MessagesPlaceholder(variable_name="history"), + HumanMessagePromptTemplate.from_template("{input}"), + ] + ) + self.memory = ConversationBufferWindowMemory(return_messages=True, k=2) + else: + prompt_template = PromptTemplate( + input_variables=["history", "input"], + template=SYSTEM_PROMPT.format( provider_name=llm.name, local_model_id=llm.model_id - ), - MessagesPlaceholder(variable_name="history"), - HumanMessagePromptTemplate.from_template("{input}"), - AIMessage(content=""), - ] - ) + ) + + "\n\n" + + DEFAULT_TEMPLATE, + ) + self.memory = ConversationBufferWindowMemory(k=2) + self.llm = llm self.llm_chain = ConversationChain( llm=llm, prompt=prompt_template, verbose=True, memory=self.memory diff --git a/packages/jupyter-ai/jupyter_ai/chat_handlers/generate.py b/packages/jupyter-ai/jupyter_ai/chat_handlers/generate.py index e85d5a916..b3a7c4335 100644 --- a/packages/jupyter-ai/jupyter_ai/chat_handlers/generate.py +++ b/packages/jupyter-ai/jupyter_ai/chat_handlers/generate.py @@ -1,7 +1,6 @@ import asyncio -import json import os -from typing import Dict, Type +from typing import Dict, List, Optional, Type import nbformat from jupyter_ai.chat_handlers import BaseChatHandler @@ -9,59 +8,50 @@ from jupyter_ai_magics.providers import BaseProvider from langchain.chains import LLMChain from langchain.llms import BaseLLM +from langchain.output_parsers import PydanticOutputParser from langchain.prompts import PromptTemplate +from langchain.schema.output_parser import BaseOutputParser +from pydantic import BaseModel -schema = """{ - "$schema": "http://json-schema.org/draft-07/schema#", - "type": "object", - "properties": { - "description": { - "type": "string" - }, - "sections": { - "type": "array", - "items": { - "type": "object", - "properties": { - "title": { - "type": "string" - }, - "content": { - "type": "string" - } - }, - "required": ["title", "content"] - } - } - }, - "required": ["sections"] -}""" + +class OutlineSection(BaseModel): + title: str + content: str + + +class Outline(BaseModel): + description: Optional[str] = None + sections: List[OutlineSection] class NotebookOutlineChain(LLMChain): """Chain to generate a notebook outline, with section titles and descriptions.""" @classmethod - def from_llm(cls, llm: BaseLLM, verbose: bool = False) -> LLMChain: + def from_llm( + cls, llm: BaseLLM, parser: BaseOutputParser[Outline], verbose: bool = False + ) -> LLMChain: task_creation_template = ( "You are an AI that creates a detailed content outline for a Jupyter notebook on a given topic.\n" - "Generate the outline as JSON data that will validate against this JSON schema:\n" - "{schema}\n" + "{format_instructions}\n" "Here is a description of the notebook you will create an outline for: {description}\n" - "Don't include an introduction or conclusion section in the outline, focus only on sections that will need code." + "Don't include an introduction or conclusion section in the outline, focus only on description and sections that will need code.\n" ) prompt = PromptTemplate( template=task_creation_template, - input_variables=["description", "schema"], + input_variables=["description"], + partial_variables={"format_instructions": parser.get_format_instructions()}, ) return cls(prompt=prompt, llm=llm, verbose=verbose) async def generate_outline(description, llm=None, verbose=False): """Generate an outline of sections given a description of a notebook.""" - chain = NotebookOutlineChain.from_llm(llm=llm, verbose=verbose) - outline = await chain.apredict(description=description, schema=schema) - return json.loads(outline) + parser = PydanticOutputParser(pydantic_object=Outline) + chain = NotebookOutlineChain.from_llm(llm=llm, parser=parser, verbose=verbose) + outline = await chain.apredict(description=description) + outline = parser.parse(outline) + return outline.dict() class CodeImproverChain(LLMChain): @@ -128,7 +118,8 @@ class NotebookTitleChain(LLMChain): def from_llm(cls, llm: BaseLLM, verbose: bool = False) -> LLMChain: task_creation_template = ( "Create a short, few word, descriptive title for a Jupyter notebook with the following content.\n" - "Content:\n{content}" + "Content:\n{content}\n" + "Don't return anything other than the title." ) prompt = PromptTemplate( template=task_creation_template, @@ -165,7 +156,7 @@ async def generate_code(section, description, llm=None, verbose=False) -> None: async def generate_title(outline, llm=None, verbose: bool = False): - """Generate a title and summary of a notebook outline using an LLM.""" + """Generate a title of a notebook outline using an LLM.""" title_chain = NotebookTitleChain.from_llm(llm=llm, verbose=verbose) title = await title_chain.apredict(content=outline) title = title.strip() @@ -174,12 +165,24 @@ async def generate_title(outline, llm=None, verbose: bool = False): async def generate_summary(outline, llm=None, verbose: bool = False): + """Generate a summary of a notebook using an LLM.""" summary_chain = NotebookSummaryChain.from_llm(llm=llm, verbose=verbose) summary = await summary_chain.apredict(content=outline) outline["summary"] = summary async def fill_outline(outline, llm, verbose=False): + """Generate title and content of a notebook sections using an LLM.""" + shared_kwargs = {"outline": outline, "llm": llm, "verbose": verbose} + + await generate_title(**shared_kwargs) + await generate_summary(**shared_kwargs) + for section in outline["sections"]: + await generate_code(section, outline["description"], llm=llm, verbose=verbose) + + +async def afill_outline(outline, llm, verbose=False): + """Concurrently generate title and content of notebook sections using an LLM.""" shared_kwargs = {"outline": outline, "llm": llm, "verbose": verbose} all_coros = [] @@ -224,29 +227,39 @@ def create_llm_chain( self.llm = llm return llm - async def _process_message(self, message: HumanChatMessage): - self.get_llm_chain() + async def _generate_notebook(self, prompt: str): + """Generate a notebook and save to local disk""" - # first send a verification message to user - response = "👍 Great, I will get started on your notebook. It may take a few minutes, but I will reply here when the notebook is ready. In the meantime, you can continue to ask me other questions." - self.reply(response, message) - - # generate notebook outline - prompt = message.body + # create outline outline = await generate_outline(prompt, llm=self.llm, verbose=True) # Save the user input prompt, the description property is now LLM generated. outline["prompt"] = prompt - # fill the outline concurrently - await fill_outline(outline, llm=self.llm, verbose=True) + if self.llm.allows_concurrency: + # fill the outline concurrently + await afill_outline(outline, llm=self.llm, verbose=True) + else: + # fill outline + await fill_outline(outline, llm=self.llm, verbose=True) # create and write the notebook to disk notebook = create_notebook(outline) final_path = os.path.join(self.root_dir, outline["title"] + ".ipynb") nbformat.write(notebook, final_path) - response = f"""🎉 I have created your notebook and saved it to the location {final_path}. I am still learning how to create notebooks, so please review all code before running it.""" - self.reply(response, message) + return final_path + async def _process_message(self, message: HumanChatMessage): + self.get_llm_chain() + + # first send a verification message to user + response = "👍 Great, I will get started on your notebook. It may take a few minutes, but I will reply here when the notebook is ready. In the meantime, you can continue to ask me other questions." + self.reply(response, message) -# /generate notebook -# Error handling + try: + final_path = await self._generate_notebook(prompt=message.body) + response = f"""🎉 I have created your notebook and saved it to the location {final_path}. I am still learning how to create notebooks, so please review all code before running it.""" + except Exception as e: + self.log.exception(e) + response = "An error occurred while generating the notebook. Try running the /generate task again." + finally: + self.reply(response, message) diff --git a/packages/jupyter-ai/jupyter_ai/chat_handlers/learn.py b/packages/jupyter-ai/jupyter_ai/chat_handlers/learn.py index 712444f3c..2d011e522 100644 --- a/packages/jupyter-ai/jupyter_ai/chat_handlers/learn.py +++ b/packages/jupyter-ai/jupyter_ai/chat_handlers/learn.py @@ -15,7 +15,6 @@ IndexMetadata, ) from jupyter_core.paths import jupyter_data_dir -from langchain import FAISS from langchain.schema import BaseRetriever, Document from langchain.text_splitter import ( LatexTextSplitter, @@ -23,6 +22,7 @@ PythonCodeTextSplitter, RecursiveCharacterTextSplitter, ) +from langchain.vectorstores import FAISS from .base import BaseChatHandler diff --git a/packages/jupyter-ai/jupyter_ai/config_manager.py b/packages/jupyter-ai/jupyter_ai/config_manager.py index f61e07bde..8708b4b94 100644 --- a/packages/jupyter-ai/jupyter_ai/config_manager.py +++ b/packages/jupyter-ai/jupyter_ai/config_manager.py @@ -12,8 +12,10 @@ AnyProvider, EmProvidersDict, LmProvidersDict, + ProviderRestrictions, get_em_provider, get_lm_provider, + is_provider_allowed, ) from jupyter_core.paths import jupyter_data_dir from traitlets import Integer, Unicode @@ -97,6 +99,7 @@ def __init__( log: Logger, lm_providers: LmProvidersDict, em_providers: EmProvidersDict, + restrictions: ProviderRestrictions, *args, **kwargs, ): @@ -106,6 +109,8 @@ def __init__( self._lm_providers = lm_providers """List of EM providers.""" self._em_providers = em_providers + """Provider restrictions.""" + self._restrictions = restrictions """When the server last read the config file. If the file was not modified after this time, then we can return the cached @@ -176,6 +181,10 @@ def _validate_config(self, config: GlobalConfig): _, lm_provider = get_lm_provider( config.model_provider_id, self._lm_providers ) + # do not check config for blocked providers + if not is_provider_allowed(config.model_provider_id, self._restrictions): + assert not lm_provider + return if not lm_provider: raise ValueError( f"No language model is associated with '{config.model_provider_id}'." @@ -187,6 +196,12 @@ def _validate_config(self, config: GlobalConfig): _, em_provider = get_em_provider( config.embeddings_provider_id, self._em_providers ) + # do not check config for blocked providers + if not is_provider_allowed( + config.embeddings_provider_id, self._restrictions + ): + assert not em_provider + return if not em_provider: raise ValueError( f"No embedding model is associated with '{config.embeddings_provider_id}'." diff --git a/packages/jupyter-ai/jupyter_ai/extension.py b/packages/jupyter-ai/jupyter_ai/extension.py index 7b6d07b31..50865ed96 100644 --- a/packages/jupyter-ai/jupyter_ai/extension.py +++ b/packages/jupyter-ai/jupyter_ai/extension.py @@ -4,6 +4,7 @@ from jupyter_ai.chat_handlers.learn import Retriever from jupyter_ai_magics.utils import get_em_providers, get_lm_providers from jupyter_server.extension.application import ExtensionApp +from traitlets import List, Unicode from .chat_handlers import ( AskChatHandler, @@ -36,11 +37,35 @@ class AiExtension(ExtensionApp): (r"api/ai/providers/embeddings?", EmbeddingsModelProviderHandler), ] + allowed_providers = List( + Unicode(), + default_value=None, + help="Identifiers of allow-listed providers. If `None`, all are allowed.", + allow_none=True, + config=True, + ) + + blocked_providers = List( + Unicode(), + default_value=None, + help="Identifiers of block-listed providers. If `None`, none are blocked.", + allow_none=True, + config=True, + ) + def initialize_settings(self): start = time.time() + restrictions = { + "allowed_providers": self.allowed_providers, + "blocked_providers": self.blocked_providers, + } - self.settings["lm_providers"] = get_lm_providers(log=self.log) - self.settings["em_providers"] = get_em_providers(log=self.log) + self.settings["lm_providers"] = get_lm_providers( + log=self.log, restrictions=restrictions + ) + self.settings["em_providers"] = get_em_providers( + log=self.log, restrictions=restrictions + ) self.settings["jai_config_manager"] = ConfigManager( # traitlets configuration, not JAI configuration. @@ -48,6 +73,7 @@ def initialize_settings(self): log=self.log, lm_providers=self.settings["lm_providers"], em_providers=self.settings["em_providers"], + restrictions=restrictions, ) self.log.info("Registered providers.") diff --git a/packages/jupyter-ai/jupyter_ai/tests/test_config_manager.py b/packages/jupyter-ai/jupyter_ai/tests/test_config_manager.py index f7afbd29a..8cb1808fe 100644 --- a/packages/jupyter-ai/jupyter_ai/tests/test_config_manager.py +++ b/packages/jupyter-ai/jupyter_ai/tests/test_config_manager.py @@ -36,6 +36,7 @@ def common_cm_kwargs(config_path, schema_path): "em_providers": em_providers, "config_path": config_path, "schema_path": schema_path, + "restrictions": {"allowed_providers": None, "blocked_providers": None}, } @@ -112,6 +113,7 @@ def test_init_with_existing_config( em_providers=em_providers, config_path=config_path, schema_path=schema_path, + restrictions={"allowed_providers": None, "blocked_providers": None}, ) diff --git a/packages/jupyter-ai/jupyter_ai/tests/test_extension.py b/packages/jupyter-ai/jupyter_ai/tests/test_extension.py new file mode 100644 index 000000000..d1a10df77 --- /dev/null +++ b/packages/jupyter-ai/jupyter_ai/tests/test_extension.py @@ -0,0 +1,39 @@ +# Copyright (c) Jupyter Development Team. +# Distributed under the terms of the Modified BSD License. +import pytest +from jupyter_ai.extension import AiExtension + +pytest_plugins = ["pytest_jupyter.jupyter_server"] + +KNOWN_LM_A = "openai" +KNOWN_LM_B = "huggingface_hub" + + +@pytest.mark.parametrize( + "argv", + [ + ["--AiExtension.blocked_providers", KNOWN_LM_B], + ["--AiExtension.allowed_providers", KNOWN_LM_A], + ], +) +def test_allows_providers(argv, jp_configurable_serverapp): + server = jp_configurable_serverapp(argv=argv) + ai = AiExtension() + ai._link_jupyter_server_extension(server) + ai.initialize_settings() + assert KNOWN_LM_A in ai.settings["lm_providers"] + + +@pytest.mark.parametrize( + "argv", + [ + ["--AiExtension.blocked_providers", KNOWN_LM_A], + ["--AiExtension.allowed_providers", KNOWN_LM_B], + ], +) +def test_blocks_providers(argv, jp_configurable_serverapp): + server = jp_configurable_serverapp(argv=argv) + ai = AiExtension() + ai._link_jupyter_server_extension(server) + ai.initialize_settings() + assert KNOWN_LM_A not in ai.settings["lm_providers"] diff --git a/packages/jupyter-ai/package.json b/packages/jupyter-ai/package.json index 58f074c8d..f88edbd6d 100644 --- a/packages/jupyter-ai/package.json +++ b/packages/jupyter-ai/package.json @@ -1,6 +1,6 @@ { "name": "@jupyter-ai/core", - "version": "2.2.0", + "version": "2.4.0", "description": "A generative AI extension for JupyterLab", "keywords": [ "jupyter", @@ -66,6 +66,7 @@ "@jupyterlab/codeeditor": "^4", "@jupyterlab/codemirror": "^4", "@jupyterlab/collaboration": "^3", + "@jupyterlab/completer": "file:../../../jupyterlab/packages/completer", "@jupyterlab/coreutils": "^6", "@jupyterlab/fileeditor": "^4", "@jupyterlab/notebook": "^4", diff --git a/packages/jupyter-ai/pyproject.toml b/packages/jupyter-ai/pyproject.toml index 6735f9c2e..99dd13ddd 100644 --- a/packages/jupyter-ai/pyproject.toml +++ b/packages/jupyter-ai/pyproject.toml @@ -28,7 +28,7 @@ dependencies = [ "openai~=0.26", "aiosqlite>=0.18", "importlib_metadata>=5.2.0", - "langchain==0.0.277", + "langchain==0.0.318", "tiktoken", # required for OpenAIEmbeddings "jupyter_ai_magics", "dask[distributed]", @@ -51,6 +51,7 @@ test = [ "pytest-asyncio", "pytest-cov", "pytest-tornasync", + "pytest-jupyter", "syrupy~=4.0.8" ] diff --git a/packages/jupyter-ai/src/bigcode-Inline-completion-provider.ts b/packages/jupyter-ai/src/bigcode-Inline-completion-provider.ts new file mode 100644 index 000000000..2beaec470 --- /dev/null +++ b/packages/jupyter-ai/src/bigcode-Inline-completion-provider.ts @@ -0,0 +1,431 @@ +import { + CompletionHandler, + HistoryInlineCompletionProvider, + IInlineCompletionContext, + IInlineCompletionItem, + IInlineCompletionList, + IInlineCompletionProvider, + InlineCompletionTriggerKind +} from '@jupyterlab/completer'; +import { NotebookPanel } from '@jupyterlab/notebook'; +import { nullTranslator, TranslationBundle } from '@jupyterlab/translation'; +import { retrieveNotebookContentUntilCursor } from './utils/cell-context'; + +import bigcodeRequestInstance, { + BigCodeServiceStreamResponseItem +} from './utils/bigcode-request'; +import CodeCompletionContextStore from './contexts/code-completion-context-store'; + +export class BigcodeInlineCompletionProvider + implements IInlineCompletionProvider +{ + readonly identifier = '@jupyterlab/inline-completer:bigcode'; + private _trans: TranslationBundle; + private _lastRequestInfo: { + insertText: string; + cellCode: string; + } = { + insertText: '', + cellCode: '' + }; + private _requesting = false; + private _requestMode: InlineCompletionTriggerKind = 0; + private _streamStop = false; + private _finish = false; + private _timeoutId: number | null = null; + private _callCounter = 0; + + get finish(): boolean { + return this._finish; + } + + get requesting(): boolean { + return this._requesting; + } + + constructor(protected options: HistoryInlineCompletionProvider.IOptions) { + const translator = options.translator || nullTranslator; + this._trans = translator.load('jupyterlab'); + } + + get name(): string { + return this._trans.__('Bigcode'); + } + + shouldClearStateAndPerformAutoRequest(addedString: string): { + shouldClearState: boolean; + shouldAutoRequest: boolean; + } { + if (this._lastRequestInfo.cellCode === '') { + return { shouldClearState: false, shouldAutoRequest: true }; + } + + if (addedString.length <= 5) { + return { shouldClearState: false, shouldAutoRequest: false }; + } + + const previousInsertText = this._lastRequestInfo.insertText; + + let diffPosition = 0; + while ( + diffPosition < addedString.length && + previousInsertText[diffPosition] === addedString[diffPosition] + ) { + diffPosition++; + } + + const shouldClearState = + previousInsertText.length - diffPosition >= + addedString.length - diffPosition + 4; + + return { + shouldClearState: shouldClearState, + shouldAutoRequest: shouldClearState + }; + } + + constructContinuationPrompt(context: IInlineCompletionContext): string { + if (context.widget instanceof NotebookPanel) { + const widget = context.widget as NotebookPanel; + const notebookCellContent = retrieveNotebookContentUntilCursor(widget); + + bigcodeRequestInstance.constructContinuationPrompt(notebookCellContent); + return bigcodeRequestInstance.prompt; + } + + return ''; + } + + async shortCutCompletionHandler( + request: CompletionHandler.IRequest, + context: IInlineCompletionContext + ): Promise> { + const items: IInlineCompletionItem[] = []; + const prompt = this.constructContinuationPrompt(context); + + if (prompt) { + this.setRequestFinish(true); + this._requestMode = 0; + this._lastRequestInfo = { + insertText: '', + cellCode: request.text.slice(0, request.offset) + }; + items.push({ + token: prompt, + isIncomplete: true, + insertText: '' + }); + } + + return { items }; + } + + async autoCompletionHandler( + request: CompletionHandler.IRequest, + context: IInlineCompletionContext + ): Promise> { + console.debug('autoCompletionHandler'); + this._streamStop = true; + + const lastRoundCellCodeText = this._lastRequestInfo.cellCode; + const currentRoundCellCodeText = request.text.slice(0, request.offset); + + const newAddedCodeText = currentRoundCellCodeText.replace( + lastRoundCellCodeText, + '' + ); + + const items: IInlineCompletionItem[] = []; + if (this._lastRequestInfo.insertText.startsWith(newAddedCodeText)) { + items.push({ + isIncomplete: false, + insertText: this._lastRequestInfo.insertText.replace( + newAddedCodeText, + '' + ) + }); + return { items }; + } else { + const { shouldClearState, shouldAutoRequest } = + this.shouldClearStateAndPerformAutoRequest(newAddedCodeText); + + if (shouldClearState) { + this.clearState(); + } + + if (shouldAutoRequest) { + const prompt = this.constructContinuationPrompt(context); + if (!prompt) { + return { items: [] }; + } + + const result = await this.simulateSingleRequest(prompt); + + if (result === '') { + return { items: [] }; + } + + if (result === '') { + this._lastRequestInfo = { + insertText: '', + cellCode: currentRoundCellCodeText + }; + this._requestMode = 1; + return { + items: [ + { + token: prompt, + isIncomplete: true, + insertText: '' + } + ] + }; + } + } + } + + this._requesting = false; + return { items }; + } + + async fetch( + request: CompletionHandler.IRequest, + context: IInlineCompletionContext + ): Promise> { + if (!CodeCompletionContextStore.enableCodeCompletion) { + return { items: [] }; + } + + if ( + !CodeCompletionContextStore.accessToken && + !CodeCompletionContextStore.enableMockTest + ) { + alert('Huggingface Access Token not set.'); + return { items: [] }; + } + + if (context.triggerKind === 1) { + return await this.autoCompletionHandler(request, context); + } + + if (context.triggerKind === 0) { + return await this.shortCutCompletionHandler(request, context); + } + + return { items: [] }; + } + + setRequestFinish(error: boolean): void { + this._requesting = false; + this._streamStop = false; + this._finish = !error; + } + + clearState(): void { + this._streamStop = true; + this._finish = false; + this._requesting = false; + this._lastRequestInfo = { + insertText: '', + cellCode: '' + }; + } + + delay = async (ms: number): Promise => + new Promise(resolve => setTimeout(resolve, ms)); + + simulateSingleRequest(prompt: string): Promise { + this._callCounter++; + + if (this._requesting) { + return Promise.resolve(''); + } + + if (this._timeoutId) { + clearTimeout(this._timeoutId); + this._timeoutId = null; + } + + const currentCallCount = this._callCounter; + + return new Promise(resolve => { + this._timeoutId = setTimeout(() => { + if (this._callCounter === currentCallCount && !this._requesting) { + this._callCounter = 0; + this._requesting = true; + resolve(''); + this._timeoutId = null; + } else { + resolve(''); + } + }, 2000); + }); + } + + async *stream( + token: string + ): AsyncGenerator<{ response: IInlineCompletionItem }, undefined, unknown> { + if (!CodeCompletionContextStore.enableMockTest) { + yield* this.completionStream(token); + } else { + yield* this.mockCompletionStream(token); + } + } + + private async *mockCompletionStream( + token: string + ): AsyncGenerator<{ response: IInlineCompletionItem }, undefined, unknown> { + this._requesting = true; + + if (this._requestMode === 0) { + yield* this.mockKeypressCompletionStream(); + } else if (this._requestMode === 1) { + yield* this.mockAutomaticCompletionStream(token); + } + + this.setRequestFinish(false); + } + + private async *mockKeypressCompletionStream(): AsyncGenerator< + { response: IInlineCompletionItem }, + undefined, + unknown + > { + const testResultText = + '"""This is the first line generated by the mockKeypressCompletionStreamr"""\n """This is the second line generated by the mockKeypressCompletionStream"""'; + + for (let i = 1; i <= testResultText.length; i++) { + await this.delay(10); + + if (this._streamStop) { + console.debug('_streamStop'); + yield { + response: { + isIncomplete: false, + insertText: this._lastRequestInfo.insertText + } + }; + return; + } + + const insertChar = testResultText.slice(i - 1, i); + this._lastRequestInfo.insertText += insertChar; + + yield { + response: { + isIncomplete: i !== testResultText.length - 1, + insertText: this._lastRequestInfo.insertText + } + }; + } + } + + private async *mockAutomaticCompletionStream( + token: string + ): AsyncGenerator<{ response: IInlineCompletionItem }, undefined, unknown> { + await this.delay(1000); + const insertText = + '"""This is the first line that automatically triggers the mockAutomaticCompletionStream"""\n """This is the second line that automatically triggers the mockAutomaticCompletionStream"""'; + this._lastRequestInfo.insertText = insertText; + + yield { + response: { + token, + isIncomplete: false, + insertText: insertText + } + }; + } + + private async *completionStream( + token: string + ): AsyncGenerator<{ response: IInlineCompletionItem }, undefined, unknown> { + this._requesting = true; + + if (this._requestMode === 0) { + yield* this.keypressCompletionStream(token); + } else if (this._requestMode === 1) { + yield* this.automaticCompletionStream(token); + } + + this.setRequestFinish(false); + } + + async *keypressCompletionStream( + token: string + ): AsyncGenerator<{ response: IInlineCompletionItem }, undefined, unknown> { + if (token === '') { + return; + } + + this._requesting = true; + this._finish = false; + let reponseData: ReadableStream | null = null; + + try { + reponseData = await bigcodeRequestInstance.fetchStream(true); + } catch { + yield { + response: { + isIncomplete: false, + insertText: '' + } + }; + this.setRequestFinish(true); + return; + } + + const decoder = new TextDecoder(); + const reader = reponseData.getReader(); + + while (true) { + const { value, done } = await reader.read(); + + if (done || this._streamStop) { + return; + } + + const strValue = decoder.decode(value, { stream: true }); + + const jsonStrList = strValue.split('data:'); + + for (const chunk of jsonStrList) { + if (chunk !== '') { + const chunkData = JSON.parse( + chunk + ) as BigCodeServiceStreamResponseItem; + const done = chunkData.token.special; + + if (!done) { + this._lastRequestInfo.insertText += chunkData.token.text; + } + + yield { + response: { + isIncomplete: !done, + insertText: this._lastRequestInfo.insertText + } + }; + } + } + } + } + + async *automaticCompletionStream( + token: string + ): AsyncGenerator<{ response: IInlineCompletionItem }, undefined, unknown> { + try { + const reponseData = await bigcodeRequestInstance.fetchStream(false); + + yield { + response: { + token, + isIncomplete: false, + insertText: reponseData[0].generated_text + } + }; + } catch { + return; + } + } +} diff --git a/packages/jupyter-ai/src/bigcode/bigcode-code-completion.ts b/packages/jupyter-ai/src/bigcode/bigcode-code-completion.ts deleted file mode 100644 index a7f42be80..000000000 --- a/packages/jupyter-ai/src/bigcode/bigcode-code-completion.ts +++ /dev/null @@ -1,188 +0,0 @@ -import { JupyterFrontEnd } from '@jupyterlab/application'; -import { EditorView } from '@codemirror/view'; -import { getNotebookContentUntilCursor } from '../utils/cell-context'; -import { - sendToBigCode, - processCompletionResult, - constructContinuationPrompt -} from '../utils/bigcode-request'; -import { - insertAndHighlightCode, - removeTextStatus, - moveCursorToEnd, - replaceText -} from '../utils/cell-modification'; -import { - addLoadingAnimation, - updateAnimation, - removeLoadingAnimation -} from '../utils/animation'; -import { ICell } from '../types/cell'; - -import CodeCompletionContextStore from '../contexts/code-completion-context-store'; - -/** - * An object to track the state of the request and the visibility of the result. - * @property {boolean} loading - Indicates if a request is currently being made. - * @property {boolean} viewResult - Indicates if the result of a request is currently being displayed. - */ -const requestState = { - loading: false, - viewResult: false -}; - -/** - * Checks if the provided context is empty or not. - * @param {ICell[]} context - An array of cells representing the context. - * @returns {boolean} Returns true if the context is empty or undefined, otherwise false. - */ -const isContextEmpty = (context: ICell[]): boolean => { - if (!context || context.length === 0) { - return true; // If the context is empty or undefined, we assume that the user did not write code - } - - const combinedContent = context.reduce((acc, cell) => acc + cell.content, ''); - return combinedContent.trim() === ''; -}; - -/** - * Handles the success response of the code completion request. - * @param {JupyterFrontEnd} app - The JupyterFrontEnd application instance. - * @param {EditorView} view - The editor view instance. - * @param {{ generated_text: string }[]} result - The result array containing generated text. - */ -const requestSuccess = ( - app: JupyterFrontEnd, - view: EditorView, - result: { generated_text: string }[] -) => { - const resultCode = processCompletionResult(result); - requestState.viewResult = true; - - if (resultCode === '') { - requestState.viewResult = false; - CodeCompletionContextStore.setCodeOnRequest(''); - } else { - insertAndHighlightCode( - app, - CodeCompletionContextStore.codeOnRequest, - resultCode - ); - } - - updateAnimation(view, 'success'); - requestState.loading = false; -}; - -/** - * Handles the failure of the code completion request. - * @param {EditorView} view - The editor view instance. - */ -const requestFailed = (view: EditorView) => { - CodeCompletionContextStore.setCodeOnRequest(''); - - updateAnimation(view, 'failed'); - requestState.viewResult = false; - requestState.loading = false; -}; - -/** - * Initiates code completion based on the provided context. - * @param {JupyterFrontEnd} app - The JupyterFrontEnd application instance. - * @param {EditorView} view - The editor view instance. - * @returns {boolean} Indicates whether the function completed successfully. - */ -export const codeCompletion = ( - app: JupyterFrontEnd, - view: EditorView -): boolean => { - const context = getNotebookContentUntilCursor(app); - - if (!context || isContextEmpty(context)) { - updateAnimation(view, 'failed'); - console.error('continueWriting() => context is null'); - return false; - } - - if (requestState.loading || requestState.viewResult) { - console.error('continueWriting() => request is running'); - return true; - } - - console.debug('continueWriting() => context: ', context); - - requestState.loading = true; - removeLoadingAnimation(view); - addLoadingAnimation(view); - CodeCompletionContextStore.setCodeOnRequest( - context[context.length - 1].content - ); - const prompt = constructContinuationPrompt( - context, - CodeCompletionContextStore.maxPromptToken - ); - - console.debug('codeCompletion() => prompt: ', prompt); - - sendToBigCode(prompt, CodeCompletionContextStore.maxResponseToken) - .then(result => { - console.debug('continueWriting() => state is success, result: ', result); - requestSuccess(app, view, result); - }) - .catch(async err => { - console.error(await err); - requestFailed(view); - }); - - return true; -}; - -/** - * Removes custom colors from the text in the editor. - * @param {EditorView} view - The editor view instance. - * @returns {boolean} Indicates whether the function completed successfully. - */ -export const removeColor = (view: EditorView): boolean => { - if ( - CodeCompletionContextStore.codeOnRequest === '' && - !requestState.viewResult - ) { - console.debug( - 'removeColor() => No request is running or no continuation code is showing' - ); - return false; - } - - requestState.viewResult = false; - removeTextStatus(view); - CodeCompletionContextStore.setCodeOnRequest(''); - moveCursorToEnd(view); - console.debug('removeColor() => remove code customize color'); - return true; -}; - -/** - * Handles any keypress events when a request is loading or a result is being displayed. - * @param {EditorView} view - The editor view instance. - * @returns {boolean} Indicates whether the function completed successfully. - */ -export const handleAnyKeyPress = (view: EditorView): boolean => { - if (requestState.loading) { - console.debug('handleAnyKeyPress() => request is loading'); - return true; - } - - if ( - CodeCompletionContextStore.codeOnRequest !== '' || - requestState.viewResult - ) { - console.debug( - 'handleAnyKeyPress() => code for the user to cancel the display' - ); - removeTextStatus(view); - replaceText(view, CodeCompletionContextStore.codeOnRequest); - CodeCompletionContextStore.setCodeOnRequest(''); - requestState.viewResult = false; - } - return false; -}; diff --git a/packages/jupyter-ai/src/components/bigcode-settings.tsx b/packages/jupyter-ai/src/components/bigcode-settings.tsx index d7e4c92f6..34b2db49b 100644 --- a/packages/jupyter-ai/src/components/bigcode-settings.tsx +++ b/packages/jupyter-ai/src/components/bigcode-settings.tsx @@ -31,6 +31,10 @@ export const BigCodeSetting = observer(() => { CodeCompletionContextstore.toggleCodeCompletion(); }; + const toggleMockTestWrapper = () => { + CodeCompletionContextstore.toggleCMockTest(); + }; + useEffect(() => { CodeCompletionContextstore.setBigcodeUrl( 'https://api-inference.huggingface.co/models/bigcode/starcoderbase/' @@ -75,9 +79,20 @@ export const BigCodeSetting = observer(() => { onChange={toggleCodeCompletionWrapper} /> + {CodeCompletionContextstore.enableCodeCompletion && ( +

+ Enable mock test code completion + +

+ )} +
{ + (emsg: string | Error) => { props.alert.show('error', emsg); }, [props.alert] diff --git a/packages/jupyter-ai/src/contexts/code-completion-context-store.ts b/packages/jupyter-ai/src/contexts/code-completion-context-store.ts index b1d1206ab..e95ca23b9 100644 --- a/packages/jupyter-ai/src/contexts/code-completion-context-store.ts +++ b/packages/jupyter-ai/src/contexts/code-completion-context-store.ts @@ -1,6 +1,6 @@ import { makeObservable, observable, action } from 'mobx'; -class CodeCompletionContextstore { +class CodeCompletionContextStore { /** * Whether to enable code completion function. */ @@ -17,9 +17,9 @@ class CodeCompletionContextstore { @observable bigcodeUrl = ''; /** - * Observable state for the code being requested for completion. + * Whether simulation testing is enabled (without using the real API) */ - @observable codeOnRequest = ''; + @observable enableMockTest = false; /** * Observable string representing the shortcut key combination for triggering code completion. @@ -51,6 +51,7 @@ class CodeCompletionContextstore { this.shortcutStr = dataPersistence.shortcutStr; this.maxPromptToken = dataPersistence.maxPromptToken; this.maxResponseToken = dataPersistence.maxResponseToken; + this.enableMockTest = dataPersistence.enableMockTest; } } @@ -63,7 +64,8 @@ class CodeCompletionContextstore { bigcodeUrl: this.bigcodeUrl, shortcutStr: this.shortcutStr, maxPromptToken: this.maxPromptToken, - maxResponseToken: this.maxResponseToken + maxResponseToken: this.maxResponseToken, + enableMockTest: this.enableMockTest }) ); } @@ -86,13 +88,14 @@ class CodeCompletionContextstore { } @action - setCodeOnRequest(code: string): void { - this.codeOnRequest = code; + setShortcutStr(shortcutStr: string): void { + this.shortcutStr = shortcutStr; + this.saveDataToLoaclStorage(); } @action - setShortcutStr(shortcutStr: string): void { - this.shortcutStr = shortcutStr; + toggleCMockTest(): void { + this.enableMockTest = !this.enableMockTest; this.saveDataToLoaclStorage(); } @@ -109,5 +112,5 @@ class CodeCompletionContextstore { } } -export default new CodeCompletionContextstore(); -export type IGlobalStore = CodeCompletionContextstore; +export default new CodeCompletionContextStore(); +export type IGlobalStore = CodeCompletionContextStore; diff --git a/packages/jupyter-ai/src/index.ts b/packages/jupyter-ai/src/index.ts index a5962981a..5dd02d72c 100644 --- a/packages/jupyter-ai/src/index.ts +++ b/packages/jupyter-ai/src/index.ts @@ -13,7 +13,10 @@ import { buildBigcodeSidebar } from './widgets/bigcode-sidebar'; import { SelectionWatcher } from './selection-watcher'; import { ChatHandler } from './chat_handler'; import { buildErrorWidget } from './widgets/chat-error'; -import { handleCodeCompletionKeyDown } from './keydown-handler'; +import { handleCodeCompletionKeyDown } from './inline-completion-handler'; +import { ICompletionProviderManager } from '@jupyterlab/completer'; +import { ITranslator, nullTranslator } from '@jupyterlab/translation'; +import { BigcodeInlineCompletionProvider } from './bigcode-Inline-completion-provider'; export type DocumentTracker = IWidgetTracker; @@ -52,19 +55,32 @@ const plugin: JupyterFrontEndPlugin = { } /** - * Initialize bigcode settings widget + * Add Chat widget to right sidebar */ - const bigcodeWidget = buildBigcodeSidebar(); + app.shell.add(chatWidget, 'left', { rank: 2000 }); - /** - * Initialize keydown handler - */ - handleCodeCompletionKeyDown(app); + if (restorer) { + restorer.add(chatWidget, 'jupyter-ai-chat'); + } + } +}; +const bigcodeCodeCompletion: JupyterFrontEndPlugin = { + id: 'jupyter_ai:plugin:inline-bigcode', + description: 'Adds inline completion provider suggesting code from bigcode.', + requires: [ICompletionProviderManager], + optional: [ILayoutRestorer], + autoStart: true, + activate: ( + app: JupyterFrontEnd, + completionManager: ICompletionProviderManager, + restorer: ILayoutRestorer | null, + translator: ITranslator | null + ): void => { /** - * Add Chat widget to right sidebar + * Initialize bigcode settings widget */ - app.shell.add(chatWidget, 'left', { rank: 2000 }); + const bigcodeWidget = buildBigcodeSidebar(); /** * Add Bigcode settings widget to right sidebar @@ -72,10 +88,28 @@ const plugin: JupyterFrontEndPlugin = { app.shell.add(bigcodeWidget, 'left', { rank: 2001 }); if (restorer) { - restorer.add(chatWidget, 'jupyter-ai-chat'); restorer.add(bigcodeWidget, 'bigcode-code-completion'); } + + const bigcodeInlineCompletionProvider = new BigcodeInlineCompletionProvider( + { + translator: translator ?? nullTranslator + } + ); + + completionManager.registerInlineProvider(bigcodeInlineCompletionProvider); + + /** + * Initialize keydown handler + */ + handleCodeCompletionKeyDown( + app, + completionManager, + bigcodeInlineCompletionProvider + ); } }; -export default plugin; +const plugins: JupyterFrontEndPlugin[] = [plugin, bigcodeCodeCompletion]; + +export default plugins; diff --git a/packages/jupyter-ai/src/keydown-handler.ts b/packages/jupyter-ai/src/inline-completion-handler.ts similarity index 67% rename from packages/jupyter-ai/src/keydown-handler.ts rename to packages/jupyter-ai/src/inline-completion-handler.ts index 922317bf9..2b285d2e6 100644 --- a/packages/jupyter-ai/src/keydown-handler.ts +++ b/packages/jupyter-ai/src/inline-completion-handler.ts @@ -8,15 +8,12 @@ import { Notebook } from '@jupyterlab/notebook'; import { NotebookPanel } from '@jupyterlab/notebook'; import { Extension } from '@codemirror/state'; import { CodeEditor } from '@jupyterlab/codeeditor'; - import { getSpecificWidget } from './utils/instance'; -import { - codeCompletion, - removeColor, - handleAnyKeyPress -} from './bigcode/bigcode-code-completion'; import { parseKeyboardEventToShortcut } from './utils/keyboard'; -import GlobalStore from './contexts/code-completion-context-store'; +import { ICompletionProviderManager } from '@jupyterlab/completer'; + +import CodeCompletionContextStore from './contexts/code-completion-context-store'; +import { BigcodeInlineCompletionProvider } from './bigcode-Inline-completion-provider'; // Create a weak reference set to store the editor const mountedEditors = new WeakSet(); @@ -68,29 +65,51 @@ const mountEditorWithDelay = ( }; /// Generates a keydown extension for handling various keypress events. -const generateKeyDownExtension = (app: JupyterFrontEnd): Extension => { +const generateKeyDownExtension = ( + app: JupyterFrontEnd, + completionManager: ICompletionProviderManager, + bigcodeInlineCompletionProvider: BigcodeInlineCompletionProvider +): Extension => { + const providerInvoke = (): boolean => { + if (app.shell.currentWidget) { + completionManager.inline?.invoke(app.shell.currentWidget?.id); + return true; + } + return false; + }; + return Prec.highest( keymap.of([ { any: (view: EditorView, event: KeyboardEvent) => { - if (!GlobalStore.enableCodeCompletion) { - return false; - } - const parsedShortcut = parseKeyboardEventToShortcut(event); - console.debug('keyboard press: ', parsedShortcut); - if (parsedShortcut === GlobalStore.shortcutStr) { - console.debug('keyboard press: codeCompletion function is Running'); - return codeCompletion(app, view); + if (parsedShortcut === CodeCompletionContextStore.shortcutStr) { + console.debug( + 'keyboard press: codeCompletion invoke function is Running' + ); + return providerInvoke(); } - if (event.code === 'Enter') { - console.debug('keyboard press: removeColor function is Running'); - return removeColor(view); + if ( + event.code === 'Enter' && + (bigcodeInlineCompletionProvider.finish || + bigcodeInlineCompletionProvider.requesting) + ) { + const currentWidget = app.shell.currentWidget; + + if (currentWidget) { + completionManager.inline?.accept(app.shell.currentWidget?.id); + bigcodeInlineCompletionProvider.clearState(); + + console.debug( + 'keyboard press: codeCompletion accept function is Running' + ); + return true; + } } - return handleAnyKeyPress(view); + return false; } } ]) @@ -102,12 +121,20 @@ const generateKeyDownExtension = (app: JupyterFrontEnd): Extension => { * This function sets up listeners for changes in the current widget and mounts the editor accordingly. * @param {JupyterFrontEnd} app - The JupyterFrontEnd application instance. */ -const initializeKeyDownHandlers = (app: JupyterFrontEnd) => { +const initializeKeyDownHandlers = ( + app: JupyterFrontEnd, + completionManager: ICompletionProviderManager, + bigcodeInlineCompletionProvider: BigcodeInlineCompletionProvider +) => { if (!(app.shell instanceof LabShell)) { throw 'Shell is not an instance of LabShell. Jupyter AI does not currently support custom shells.'; } - const extension = generateKeyDownExtension(app); + const extension = generateKeyDownExtension( + app, + completionManager, + bigcodeInlineCompletionProvider + ); // Listen for changes in the current weiget app.shell.currentChanged.connect(async (sender, args) => { @@ -147,10 +174,16 @@ const initializeKeyDownHandlers = (app: JupyterFrontEnd) => { * @returns {Promise} */ export const handleCodeCompletionKeyDown = async ( - app: JupyterFrontEnd + app: JupyterFrontEnd, + completionManager: ICompletionProviderManager, + bigcodeInlineCompletionProvider: BigcodeInlineCompletionProvider ): Promise => { // Wait for the notebook to finish initializing await app.start(); - initializeKeyDownHandlers(app); + initializeKeyDownHandlers( + app, + completionManager, + bigcodeInlineCompletionProvider + ); console.log('handleCodeCompletionKeyDown is start...'); }; diff --git a/packages/jupyter-ai/src/utils/animation.ts b/packages/jupyter-ai/src/utils/animation.ts deleted file mode 100644 index 03f29b3d4..000000000 --- a/packages/jupyter-ai/src/utils/animation.ts +++ /dev/null @@ -1,79 +0,0 @@ -import { EditorView } from '@codemirror/view'; - -/** - * Adds a rotating circle loading animation to the left side of the EditorView's DOM. - * Removes any existing loading animations before adding a new one. - * - * @param {EditorView} view - The instance of ProseMirror's EditorView. - * @returns {HTMLElement | null} The created circle animation element or null if the target div is not found. - */ -export function addLoadingAnimation(view: EditorView): HTMLElement | null { - removeLoadingAnimation(view); - const cellNode = view.dom.closest('.jp-Cell'); - if (!cellNode) { - return null; - } - - const targetDiv = cellNode.querySelector( - '.lm-Widget.jp-InputPrompt.jp-InputArea-prompt' - ); - const circle = document.createElement('div'); - circle.className = 'circle-loading-animation'; - targetDiv?.appendChild(circle); - - return circle; -} - -/** - * Updates the animation state to either 'success' or 'failed'. - * If a loading circle doesn't exist, it will be created. - * - * @param {EditorView} view - The instance of ProseMirror's EditorView. - * @param {('success' | 'failed')} state - The new state for the animation. - */ -export function updateAnimation( - view: EditorView, - state: 'success' | 'failed' -): void { - let circle = getLoadingCircle(view); - if (!circle) { - circle = addLoadingAnimation(view); - } - - if (state === 'success') { - circle?.classList.add('circle-success'); - } else if (state === 'failed') { - circle?.classList.add('circle-failed'); - } - - // It will disappear automatically after 1.5s - setTimeout(() => { - removeLoadingAnimation(view); - }, 1500); -} - -/** - * Retrieves the loading circle from the closest cell of the given view. - * - * @param {EditorView} view - The instance of ProseMirror's EditorView. - * @returns {HTMLElement | null | undefined} The loading circle element or null/undefined if not found. - */ -function getLoadingCircle(view: EditorView): HTMLElement | null | undefined { - return view.dom - .closest('.jp-Cell') - ?.querySelector('.circle-loading-animation'); -} - -/** - * Removes all loading/success/failed animations from the closest cell of the given view. - * - * @param {EditorView} view - The instance of ProseMirror's EditorView. - */ -export const removeLoadingAnimation = (view: EditorView): void => { - const circles = view.dom - .closest('.jp-Cell') - ?.querySelectorAll('.circle-loading-animation'); - circles?.forEach(circle => { - circle.remove(); - }); -}; diff --git a/packages/jupyter-ai/src/utils/bigcode-request.ts b/packages/jupyter-ai/src/utils/bigcode-request.ts index 55ecc413e..3b44d851e 100644 --- a/packages/jupyter-ai/src/utils/bigcode-request.ts +++ b/packages/jupyter-ai/src/utils/bigcode-request.ts @@ -1,5 +1,23 @@ -import CodeCompletionContextStore from '../contexts/code-completion-context-store'; +import CodeCompletionContextStore, { + IGlobalStore +} from '../contexts/code-completion-context-store'; import { ICell } from '../types/cell'; +import { makeObservable, computed } from 'mobx'; + +export type BigCodeServiceStreamResponseItem = { + token: { + id: number; + text: string; + logprob: number; + special: boolean; + }; + generated_text: string | null; + details: null; +}; + +export type BigCodeServiceNotStreamResponse = { + generated_text: string; +}[]; /** * Generates the appropriate prompt string based on the cell type. @@ -8,124 +26,117 @@ import { ICell } from '../types/cell'; * @param {ICell} cell - The cell object which includes the type and content. * @returns {string} The generated prompt string for the cell. */ -const getPromptForCell = (cell: ICell): string => { - let cellPrompt = ''; - switch (cell.type) { - case 'code': - cellPrompt += ''; - break; - case 'markdown': - cellPrompt += ''; - break; - case 'output': - cellPrompt += ''; - break; - } - return cellPrompt + cell.content; -}; +class Bigcode { + spaceCount: number; + private _prompt: string; -function countSpaces(str: string) { - const matches = str.match(/ /g); - return matches ? matches.length : 0; -} + constructor(private store: IGlobalStore) { + makeObservable(this); + this.spaceCount = 0; + this._prompt = ''; + } -/** - * Constructs a continuation prompt based on the provided context. - * It concatenates the prompts for all the cells in the context. - * - * @param {ICell[] | null} context - An array of cells representing the context. - * @returns {string | null} The constructed continuation prompt or null if context is empty. - */ -export const constructContinuationPrompt = ( - context: ICell[] | null, - maxTokens: number -): string | null => { - if (!context || context.length === 0) { - return null; + @computed get bigcodeUrl() { + return this.store.bigcodeUrl; } - let prompt = ''; - for (let i = context.length - 1; i >= 0; i--) { - prompt = getPromptForCell(context[i]) + prompt; - if (countSpaces(prompt) > maxTokens) { - break; - } + @computed get accessToken() { + return this.store.accessToken; } - return '' + prompt; -}; + @computed get maxTokens() { + return this.store.maxPromptToken; + } -/** - * Sends the given prompt to the BigCode service for code completion. - * It requires the BigCode service URL and the Huggingface Access Token to be set in the CodeCompletionContextStore. - * - * @param {string | null} prompt - The prompt string to be sent for code completion. - * @returns {Promise<{ generated_text: string }[]>} A promise that resolves with the generated text or rejects with an error. - */ -export const sendToBigCode = async ( - prompt: string | null, - max_tokens: number -): Promise<{ generated_text: string }[]> => { - const { bigcodeUrl } = CodeCompletionContextStore; - const { accessToken } = CodeCompletionContextStore; - console.log(prompt); - if (!bigcodeUrl || !accessToken) { - alert('BigCode service URL or Huggingface Access Token not set.'); - return new Promise((resolve, reject) => { - reject('BigCode service URL or Huggingface Access Token not set.'); - }); + get prompt() { + return this._prompt; } - if (!prompt) { - return new Promise((resolve, reject) => { - reject('Prompt is null'); + async fetchStream(stream: true): Promise>; + async fetchStream(stream: false): Promise; + async fetchStream( + stream = false + ): Promise | BigCodeServiceNotStreamResponse> { + if (!this.bigcodeUrl || !this.accessToken) { + alert('BigCode service URL or Huggingface Access Token not set.'); + throw new Error( + 'BigCode service URL or Huggingface Access Token not set.' + ); + } + + if (!this._prompt) { + throw new Error('Prompt is null'); + } + + const bodyData = { + inputs: this.prompt, + stream, + parameters: { + temperature: 0.01, + return_full_text: false, + max_tokens: this.maxTokens, + stop: [''] + } + }; + + const response = await fetch(this.bigcodeUrl, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${this.accessToken}` + }, + body: JSON.stringify(bodyData) }); + + if (!response || !response.ok) { + throw new Error(await response.json()); + } + + const streamData = response.body; + + if (!streamData) { + throw new Error(await response.json()); + } + + return stream ? streamData : response.json(); } - const bodyData = { - inputs: prompt, - stream: false, - parameters: { - temperature: 0.01, - return_full_text: false, - max_tokens, - stop: [''] + getPromptForCell = (cell: ICell): string => { + let cellPrompt = ''; + switch (cell.type) { + case 'code': + cellPrompt += ''; + break; + case 'markdown': + cellPrompt += ''; + break; + case 'output': + cellPrompt += ''; + break; } + return cellPrompt + cell.content; }; - const response = fetch(bigcodeUrl, { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - Authorization: `Bearer ${accessToken}` - }, - body: JSON.stringify(bodyData) - }); - - const responseResult = await response; - // Check if response status code is in the range 200-299 - if (!responseResult.ok) { - return new Promise((resolve, reject) => { - reject(responseResult.json()); - }); + countSpaces(str: string) { + const matches = str.match(/ /g); + this.spaceCount = matches ? matches.length : 0; } - return responseResult.json(); -}; + constructContinuationPrompt(context: ICell[] | null) { + if (!context || context.length === 0) { + return null; + } -/** - * Processes the result received from the BigCode service. - * It extracts the generated text from the result and removes any placeholder strings. - * - * @param {{ generated_text: string }[]} result - The result array containing generated text. - * @returns {string} The processed generated text. - */ -export const processCompletionResult = ( - result: { generated_text: string }[] -): string => { - if (result.length === 0) { - return ''; + let prompt = ''; + for (let i = context.length - 1; i >= 0; i--) { + prompt = this.getPromptForCell(context[i]) + prompt; + this.countSpaces(prompt); + if (this.spaceCount > this.maxTokens) { + break; + } + } + this._prompt = '' + prompt; } +} - return result[0].generated_text.replace('', ''); -}; +export default new Bigcode(CodeCompletionContextStore); diff --git a/packages/jupyter-ai/src/utils/cell-context.ts b/packages/jupyter-ai/src/utils/cell-context.ts index d18a91025..6c476f9d5 100644 --- a/packages/jupyter-ai/src/utils/cell-context.ts +++ b/packages/jupyter-ai/src/utils/cell-context.ts @@ -1,69 +1,44 @@ -import { JupyterFrontEnd } from '@jupyterlab/application'; import { CodeEditor } from '@jupyterlab/codeeditor'; -import { DocumentWidget } from '@jupyterlab/docregistry'; -import { Notebook } from '@jupyterlab/notebook'; +import { Notebook, NotebookPanel } from '@jupyterlab/notebook'; import { CodeCell, MarkdownCell, Cell } from '@jupyterlab/cells'; import { ICell, ICellType } from '../types/cell'; -import { getSpecificWidget, getEditorByWidget } from './instance'; +import { getSpecificWidget } from './instance'; /** - * Get the text from the current editor. + * Retrieves the text content from a given editor. * * @param {CodeEditor.IEditor} editor - The editor instance. * @returns {string} - The text data of the current cell. */ -export const getTextByEditor = (editor: CodeEditor.IEditor): string => { +const extractTextFromEditor = (editor: CodeEditor.IEditor): string => { return editor.model.sharedModel.getSource(); }; /** - * Splits a string into lines, accounting for escaped newlines. + * Divides a string by lines, considering escaped newlines. * * @param {string} input - The string to split. * @returns {string[]} - An array of split lines. */ -export const splitString = (input: string): string[] => { +const divideStringByLines = (input: string): string[] => { // Split by newline, but ignore escaped newlines return input.split(/(? part.replace('\\\\n', '\\n')); }; /** - * Retrieves the code of the current cell in the Jupyter environment. - * - * @param {JupyterFrontEnd} app - The JupyterFrontEnd application instance. - * @returns {string | null} - The code from the current cell or null if not available. - */ -export const getCellCode = (app: JupyterFrontEnd): string | null => { - const currentWidget = app.shell.currentWidget; - - if (!currentWidget || !(currentWidget instanceof DocumentWidget)) { - return null; - } - - const content = getSpecificWidget(currentWidget); - const editor = getEditorByWidget(content); - - if (editor) { - return getTextByEditor(editor); - } - - return null; -}; - -/** - * Gets the text from the current editor up to the current cursor position. + * Fetches the text from an editor up to the current cursor's location. * * @param {CodeEditor.IEditor} editor - The editor instance. * @returns {string[]} - An array of lines up to the cursor position. */ -const getTextBeforeCursor = (editor: CodeEditor.IEditor): string[] => { +const fetchTextUpToCursor = (editor: CodeEditor.IEditor): string[] => { // Get the cursor position, e.g. {column: 2, line: 1} const position = editor.getCursorPosition(); - const text = getTextByEditor(editor); + const text = extractTextFromEditor(editor); // Split by newline - const codeLines = splitString(text); + const codeLines = divideStringByLines(text); const codeLinesPositionBefore = []; // Iterate from the first cell to the position of the active cell @@ -80,31 +55,6 @@ const getTextBeforeCursor = (editor: CodeEditor.IEditor): string[] => { return codeLinesPositionBefore; }; -/** - * Retrieves the text of the current cell up to the cursor position. - * - * @param {JupyterFrontEnd} app - The JupyterFrontEnd application instance. - * @returns {string[] | null} - An array of lines up to the cursor position or null if not available. - */ -export const getTextBeforeCursorFromApp = ( - app: JupyterFrontEnd -): string[] | null => { - const currentWidget = app.shell.currentWidget; - - if (!currentWidget || !(currentWidget instanceof DocumentWidget)) { - return null; - } - - const content = getSpecificWidget(currentWidget); - const editor = getEditorByWidget(content); - - if (editor) { - return getTextBeforeCursor(editor); - } - - return null; -}; - /** * Retrieves the output text from a given cell based on its type. * @@ -118,13 +68,12 @@ export const getTextBeforeCursorFromApp = ( * @param {Cell} cell - The cell from which to extract the output. * @returns {string} - The combined output text from the cell. */ -const getCellOutput = (cell: Cell): string => { +const extractOutputFromCell = (cell: Cell): string => { if (!(cell instanceof CodeCell)) { return ''; } return cell.model.sharedModel.outputs.reduce((acc, output) => { - console.log(output); switch (output.output_type) { case 'execute_result': if (output.data) { @@ -145,7 +94,14 @@ const getCellOutput = (cell: Cell): string => { }, ''); }; -const getCellDetails = (cell: Cell, isActiveCell: boolean): ICell[] => { +/** + * Gathers details about a cell: its type, content, and output. + * + * @param cell - The target cell. + * @param isCurrentlyActive - Whether the cell is the active one. + * @returns An array of cell details. + */ +const gatherCellDetails = (cell: Cell, isActiveCell: boolean): ICell[] => { const cellType: ICellType = cell instanceof CodeCell ? 'code' @@ -158,32 +114,26 @@ const getCellDetails = (cell: Cell, isActiveCell: boolean): ICell[] => { const editor = cell.editor; if (editor) { const text = isActiveCell - ? getTextBeforeCursor(editor).join('\n') - : getTextByEditor(editor); + ? fetchTextUpToCursor(editor).join('\n') + : extractTextFromEditor(editor); results.push({ type: cellType, content: text }); } - results.push({ type: 'output', content: getCellOutput(cell) }); + results.push({ type: 'output', content: extractOutputFromCell(cell) }); return results; }; /** - * Retrieves all cell content up to the current active cell position. + * Fetches the content of the notebook up to the current cursor position. * - * @param {JupyterFrontEnd} app - The JupyterFrontEnd application instance. - * @returns {ICell[] | null} - An array of ICell objects with their content or null if not available. + * @param widget - The notebook panel widget. + * @returns An array of cell contents up to the cursor, or null. */ -export const getNotebookContentUntilCursor = ( - app: JupyterFrontEnd +export const retrieveNotebookContentUntilCursor = ( + widget: NotebookPanel ): ICell[] | null => { - const currentWidget = app.shell.currentWidget; - - if (!currentWidget || !(currentWidget instanceof DocumentWidget)) { - return null; - } - - const content = getSpecificWidget(currentWidget); + const content = getSpecificWidget(widget); if (!(content instanceof Notebook)) { return null; } @@ -192,7 +142,9 @@ export const getNotebookContentUntilCursor = ( const cellsUpToCursor = content.widgets .slice(0, activeCellIndex + 1) - .flatMap((cell, index) => getCellDetails(cell, index === activeCellIndex)); + .flatMap((cell, index) => + gatherCellDetails(cell, index === activeCellIndex) + ); // Check if the last cell type is 'output' and remove it if ( diff --git a/packages/jupyter-ai/src/utils/cell-modification.ts b/packages/jupyter-ai/src/utils/cell-modification.ts deleted file mode 100644 index 963ef4052..000000000 --- a/packages/jupyter-ai/src/utils/cell-modification.ts +++ /dev/null @@ -1,195 +0,0 @@ -import { JupyterFrontEnd } from '@jupyterlab/application'; -import { DocumentWidget } from '@jupyterlab/docregistry'; -import { CodeMirrorEditor } from '@jupyterlab/codemirror'; -import { EditorView } from '@codemirror/view'; -import { StateEffect, StateField } from '@codemirror/state'; -import { Decoration, DecorationSet } from '@codemirror/view'; -import { CodeEditor } from '@jupyterlab/codeeditor'; -import { splitString } from './cell-context'; - -/** - * State effect definition for clearing text effects. - */ -const clearTextEffectState = StateEffect.define({}); - -/** - * Removes any text status effects from the provided editor view. - * - * @param {EditorView} view - The EditorView instance where text statuses are to be removed. - */ -export function removeTextStatus(view: EditorView): void { - view.dispatch({ - effects: clearTextEffectState.of(null) - }); -} - -/** - * Decoration definition for marking text with a 'gray-color' CSS class. - */ -const grayTextMark = Decoration.mark({ class: 'gray-color' }); - -/** - * Base theme for gray text decorations. - */ -const grayTextTheme = EditorView.baseTheme({ - '.gray-color > span': { color: 'gray !important' }, - '.gray-color ': { color: 'gray !important' } -}); - -/** - * State effect definition for changing the text status over a specified range. - */ -const changeRangeTextStatus = StateEffect.define<{ from: number; to: number }>({ - map: ({ from, to }, change) => ({ - from: change.mapPos(from), - to: change.mapPos(to) - }) -}); - -/** - * State field definition for tracking gray text decorations. - */ -const grayTextStateField = StateField.define({ - create() { - return Decoration.none; - }, - update(grayTexts, tr) { - grayTexts = grayTexts.map(tr.changes); - for (const e of tr.effects) { - if (e.is(changeRangeTextStatus)) { - grayTexts = grayTexts.update({ - add: [grayTextMark.range(e.value.from, e.value.to)] - }); - } - } - if (tr.effects.some(e => e.is(clearTextEffectState))) { - return Decoration.none; - } - - return grayTexts; - }, - provide: f => EditorView.decorations.from(f) -}); - -/** - * Applies gray text decoration to a specified range within an editor view. - * - * @param {EditorView} view - The EditorView instance where the decoration is to be applied. - * @param {number} start - The start position of the range. - * @param {number} end - The end position of the range. - * @returns {boolean} Indicates whether the operation was successful. - */ -export function applyGrayTextToSelection( - view: EditorView, - start: number, - end: number -): boolean { - if (start === end) { - return false; - } - const effects: StateEffect[] = [ - changeRangeTextStatus.of({ from: start, to: end }) - ]; - - if (!view.state.field(grayTextStateField, false)) { - effects.push( - StateEffect.appendConfig.of([grayTextStateField, grayTextTheme]) - ); - } - - view.dispatch({ effects }); - return true; -} - -/** - * Calculates the line and column position of the cursor based on the provided code string. - * - * @param {string} code - The code string. - * @returns {CodeEditor.IPosition} The calculated position of the cursor. - */ -export const calculatePointerPosition = ( - code: string -): CodeEditor.IPosition => { - const lines = splitString(code); - return { - line: lines.length - 1, - column: lines[lines.length - 1].length - }; -}; - -/** - * Inserts the new code into the active cell of the Jupyter environment, highlighting the inserted portion. - * - * @param {JupyterFrontEnd} app - The JupyterFrontEnd application instance. - * @param {string} oldCode - The original code string. - * @param {string} newCode - The new code string to be appended. - * @returns {boolean} Indicates whether the operation was successful. - */ -export const insertAndHighlightCode = ( - app: JupyterFrontEnd, - oldCode: string, - newCode: string -): boolean => { - // Get the currently active document window - const currentWidget = app.shell.currentWidget; - if (!(currentWidget instanceof DocumentWidget)) { - return false; - } - - // content is also of type widget, just wrapped in a widget container - const { content } = currentWidget; - // The cell being currently operated on - const activeCell = content.activeCell; - // The CodeMirror instance object of the cell being currently operated on - const editor = activeCell.editor as CodeMirrorEditor; - if (editor) { - const prePosition = calculatePointerPosition(oldCode); - const view = editor.editor; - // Update the current code - editor.model.sharedModel.setSource(oldCode + newCode); - - // Restore the mouse pointer to its previous position, otherwise it will point to the 0 position - editor.setCursorPosition(prePosition); - - // Change the color of the added code to gray - return applyGrayTextToSelection( - view, - oldCode.length, - (oldCode + newCode).length - ); - } - - return false; -}; - -/** - * Moves the cursor to the end of the document in the provided editor view. - * - * @param {EditorView} view - The EditorView instance where the cursor is to be moved. - */ -export const moveCursorToEnd = (view: EditorView): void => { - const endPos = view.state.doc.length; // Get the document's length - const transaction = view.state.update({ - selection: { anchor: endPos, head: endPos }, // Set both anchor and head to the end position - scrollIntoView: true // Optionally scroll the view to show the cursor - }); - - view.dispatch(transaction); -}; - -/** - * Replaces all the text in the provided editor view with the given new text. - * - * @param {EditorView} view - The EditorView instance where text is to be replaced. - * @param {string} newText - The new text to replace the existing content. - */ -export const replaceText = (view: EditorView, newText: string): void => { - // Create a new transaction to replace all text and move the cursor - const tr = view.state.update({ - changes: { from: 0, to: view.state.doc.length, insert: newText }, // Replace all text with newText - selection: { anchor: newText.length, head: newText.length }, // Move cursor to the end of newText - scrollIntoView: true // Optionally scroll to show the cursor - }); - - view.dispatch(tr); -}; diff --git a/packages/jupyter-ai/src/utils/instance.ts b/packages/jupyter-ai/src/utils/instance.ts index 476e64379..edf32faed 100644 --- a/packages/jupyter-ai/src/utils/instance.ts +++ b/packages/jupyter-ai/src/utils/instance.ts @@ -17,7 +17,9 @@ export const getSpecificWidget = (widget: DocumentWidget): Widget => { /** * Retrieves the editor associated with the provided content widget. * - * If the content is an instance of a Notebook, this function will return the editor of the active cell. + * This function aims to find the editor instance within different types of content widgets. + * Currently, it supports extracting the editor from an active cell of a Notebook. + * Further extensions can include more widget types and their respective logic to fetch the editor. * * @param {Widget} content - The content widget instance. * @returns {CodeEditor.IEditor | null | undefined} - The associated editor instance, or null/undefined if not found. diff --git a/packages/jupyter-ai/ui-tests/README.md b/packages/jupyter-ai/ui-tests/README.md index 3544aec4e..b5ede6f72 100644 --- a/packages/jupyter-ai/ui-tests/README.md +++ b/packages/jupyter-ai/ui-tests/README.md @@ -12,17 +12,18 @@ in [jupyter_server_test_config.py](./jupyter_server_test_config.py). The default configuration will produce video for failing tests and an HTML report. -## Run the tests +> There is a new experimental UI mode that you may fall in love with; see [that video](https://www.youtube.com/watch?v=jF0yA-JLQW0). > All commands are assumed to be executed from the root directory +## Run the tests + To run the tests, you need to: 1. Compile the extension: ```sh -jlpm install -jlpm build:prod +./scripts/install.sh ``` > Check the extension is installed in JupyterLab. @@ -30,17 +31,18 @@ jlpm build:prod 2. Install test dependencies (needed only once): ```sh -cd ./ui-tests +cd ./packages/jupyter-ai/ui-tests/ jlpm install jlpm playwright install -cd .. ``` +> Tests involve snapshot comparisons against a reference snapshots generated by the Github CI. If you are using an OS other than Linux, you will need to generate local snapshots before running the tests locally for the first time. See [Update the tests snapshots](#update-the-tests-snapshots) section for the instructions. + 3. Execute the [Playwright](https://playwright.dev/docs/intro) tests: ```sh -cd ./ui-tests -jlpm playwright test +cd ./packages/jupyter-ai/ui-tests/ +jlpm test ``` Test results will be shown in the terminal. In case of any test failures, the test report @@ -50,34 +52,12 @@ for configuring that behavior. ## Update the tests snapshots -> All commands are assumed to be executed from the root directory - If you are comparing snapshots to validate your tests, you may need to update -the reference snapshots stored in the repository. To do that, you need to: - -1. Compile the extension: - -```sh -jlpm install -jlpm build:prod -``` - -> Check the extension is installed in JupyterLab. - -2. Install test dependencies (needed only once): +the reference snapshots stored in the repository. To do that, you need to execute the [Playwright](https://playwright.dev/docs/intro) command: ```sh -cd ./ui-tests -jlpm install -jlpm playwright install -cd .. -``` - -3. Execute the [Playwright](https://playwright.dev/docs/intro) command: - -```sh -cd ./ui-tests -jlpm playwright test -u +cd ./packages/jupyter-ai/ui-tests/ +jlpm test:update ``` > Some discrepancy may occurs between the snapshots generated on your computer and @@ -87,39 +67,24 @@ jlpm playwright test -u ## Create tests -> All commands are assumed to be executed from the root directory - To create tests, the easiest way is to use the code generator tool of playwright: -1. Compile the extension: +1. Start the server: ```sh -jlpm install -jlpm build:prod +cd ./packages/jupyter-ai/ui-tests/ +jlpm start ``` -> Check the extension is installed in JupyterLab. - -2. Install test dependencies (needed only once): +2. Execute the [Playwright code generator](https://playwright.dev/docs/codegen) in **another terminal**: ```sh -cd ./ui-tests -jlpm install -jlpm playwright install -cd .. -``` - -3. Execute the [Playwright code generator](https://playwright.dev/docs/codegen): - -```sh -cd ./ui-tests +cd ./packages/jupyter-ai/ui-tests/ jlpm playwright codegen localhost:8888 ``` ## Debug tests -> All commands are assumed to be executed from the root directory - To debug tests, a good way is to use the inspector tool of playwright: 1. Compile the extension: @@ -134,15 +99,24 @@ jlpm build:prod 2. Install test dependencies (needed only once): ```sh -cd ./ui-tests +cd ./packages/jupyter-ai/ui-tests/ jlpm install jlpm playwright install -cd .. ``` 3. Execute the Playwright tests in [debug mode](https://playwright.dev/docs/debug): ```sh -cd ./ui-tests -PWDEBUG=1 jlpm playwright test +cd ./packages/jupyter-ai/ui-tests/ +jlpm playwright test --debug +``` + +## Upgrade Playwright and the browsers + +To update the web browser versions, you must update the package `@playwright/test`: + +```sh +cd ./packages/jupyter-ai/ui-tests/ +jlpm up "@playwright/test" +jlpm playwright install ``` diff --git a/packages/jupyter-ai/ui-tests/jupyter_server_test_config.py b/packages/jupyter-ai/ui-tests/jupyter_server_test_config.py index 23d06f6dd..f2a94782a 100644 --- a/packages/jupyter-ai/ui-tests/jupyter_server_test_config.py +++ b/packages/jupyter-ai/ui-tests/jupyter_server_test_config.py @@ -4,17 +4,9 @@ opens the server to the world and provide access to JupyterLab JavaScript objects through the global window variable. """ -from tempfile import mkdtemp +from jupyterlab.galata import configure_jupyter_server -c.ServerApp.port = 8888 -c.ServerApp.port_retries = 0 -c.ServerApp.open_browser = False - -c.ServerApp.root_dir = mkdtemp(prefix="galata-test-") -c.ServerApp.token = "" -c.ServerApp.password = "" -c.ServerApp.disable_check_xsrf = True -c.LabApp.expose_app_in_browser = True +configure_jupyter_server(c) # Uncomment to set server log level to debug level # c.ServerApp.log_level = "DEBUG" diff --git a/packages/jupyter-ai/ui-tests/package.json b/packages/jupyter-ai/ui-tests/package.json index d1e755ddb..e7344c688 100644 --- a/packages/jupyter-ai/ui-tests/package.json +++ b/packages/jupyter-ai/ui-tests/package.json @@ -1,13 +1,16 @@ { - "name": "jupyter_ai-ui-tests", + "name": "jupyter-ai-e2e-tests", "version": "1.0.0", - "description": "JupyterLab jupyter_ai Integration Tests", + "description": "Jupyter AI E2E tests", "private": true, "scripts": { "start": "jupyter lab --config jupyter_server_test_config.py", - "test": "jlpm playwright test" + "install-chromium": "jlpm playwright install chromium", + "test": "jlpm playwright test", + "test:update": "jlpm playwright test --update-snapshots" }, "devDependencies": { - "@jupyterlab/galata": "^4.3.0" + "@jupyterlab/galata": "^5.0.5", + "@playwright/test": "^1.37.0" } } diff --git a/packages/jupyter-ai/ui-tests/tests/helpers/AIHelper.ts b/packages/jupyter-ai/ui-tests/tests/helpers/AIHelper.ts new file mode 100644 index 000000000..b4d4ad088 --- /dev/null +++ b/packages/jupyter-ai/ui-tests/tests/helpers/AIHelper.ts @@ -0,0 +1,68 @@ +import { expect, IJupyterLabPageFixture } from '@jupyterlab/galata'; +import type { Locator } from '@playwright/test'; + +enum SELECTORS { + SIDEBAR = '.jp-SideBar.jp-mod-left[aria-label="main sidebar"]', + CHAT_PANEL = '#jupyter-ai\\:\\:chat', + CHAT_ICON = '[title="Jupyter AI Chat"]' +} + +type SnapshotOptions = { + /** + * Crops the screenshot to a locator. Uses the chat sidepanel + * locator by default. + */ + locator?: Locator; +}; + +/** + * Helper class for Jupyter AI testing in JupyterLab + */ +export class AIHelper { + constructor(readonly page: IJupyterLabPageFixture) {} + + /** + * Locates left sidebar + */ + get sidebar() { + return this.page.locator(SELECTORS.SIDEBAR); + } + + /** + * Locates Jupyter AI chat panel + */ + get chat() { + return this.page.locator(SELECTORS.CHAT_PANEL); + } + + /** + * Locates Jupyter AI chat icon + */ + get chatIcon() { + return this.page.locator(SELECTORS.CHAT_ICON); + } + + /** + * Opens Jupyter AI chat sidepanel if it is closed + */ + async openChatPanel() { + if (!(await this.chat.isVisible())) { + await this.chatIcon.click(); + } + } + + /** + * Asserts a screenshot against the snapshot at `filename`. By default, + * crops the screenshot to the chat sidepanel. See `SnapshotOptions` for + * more configuration options. + */ + async assertSnapshot( + filename: string, + customOpts?: Partial + ) { + const opts: SnapshotOptions = { ...customOpts }; + const target = opts.locator ?? (this.openChatPanel(), this.chat); + await target.waitFor({ state: 'visible' }); + expect(await target.screenshot()).toMatchSnapshot(filename); + } +} diff --git a/packages/jupyter-ai/ui-tests/tests/jupyter-ai.spec.ts b/packages/jupyter-ai/ui-tests/tests/jupyter-ai.spec.ts new file mode 100644 index 000000000..3b6c53b70 --- /dev/null +++ b/packages/jupyter-ai/ui-tests/tests/jupyter-ai.spec.ts @@ -0,0 +1,29 @@ +import { expect, test } from '@jupyterlab/galata'; +import { AIHelper } from './helpers/AIHelper'; + +enum FILENAMES { + SIDEBAR = 'sidebar.png', + CHAT_WELCOME_MESSAGE = 'chat-welcome-message.png' +} + +/** + * Don't load JupyterLab webpage before running the tests. + * This is required to ensure we capture all log messages. + */ +test.use({ autoGoto: false }); + +test.describe('Jupyter AI', () => { + let ai: AIHelper; + test.beforeEach(async ({ page }) => { + ai = new AIHelper(page); + await page.goto(); + }); + + test('shows sidebar chat icon', async () => { + await ai.assertSnapshot(FILENAMES.SIDEBAR, { locator: ai.sidebar }); + }); + + test('shows chat welcome message', async () => { + await ai.assertSnapshot(FILENAMES.CHAT_WELCOME_MESSAGE); + }); +}); diff --git a/packages/jupyter-ai/ui-tests/tests/jupyter-ai.spec.ts-snapshots/chat-welcome-message-linux.png b/packages/jupyter-ai/ui-tests/tests/jupyter-ai.spec.ts-snapshots/chat-welcome-message-linux.png new file mode 100644 index 0000000000000000000000000000000000000000..5ab4f5d4c4c0255bc33c3cb8329aa18544f4de3b GIT binary patch literal 16744 zcmeIabyQVv_b<9Z1*8>`5)crP5&=WLAd0W_9Cv zBz7+_v=W8!(oj7;=(SwtK!3?jb%v?si1Xtvwo*NZ9PV99?dv+v_UB_vHR6`hD!fv9 zLlkE7$Hy&`@#N$mDabFL)*JN9ZvPN4@8&X}xNqJa-*cE9K#VE5^H6PY2bWl7_vz1& zTaC#ikNw1$-lO~#Z((31Ji^@Lsl$|1ukR5(zky9eqkcw6NGPqR7vH}<%_OM8?s9sx zi+f&v&0kSH^cE9SiyeWkm>34v{rlmq1`R&cfq{W26y3%5k&*0ig|9VRuk;f#DaJQ4 zC3(H{*!`R0xX{h-bHe{RG_*rrGfR=$X?cJkOEE#*#^&zTt5>Ji*A1p?DV$Pu9_IBM zPd5ivIxf8FkFfrkjFGAE3Cr_%OQ~wpD4|lcd zy#&7K{sUPEUVtsz^(J!3UQ5HU0o~xtY+qDclk$q 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