diff --git a/docs/_scripts/assets/nock_setup_preamble.ts b/docs/_scripts/assets/nock_setup_preamble.ts index 3a1c0a9d6..890f9ab52 100644 --- a/docs/_scripts/assets/nock_setup_preamble.ts +++ b/docs/_scripts/assets/nock_setup_preamble.ts @@ -24,14 +24,16 @@ function decompressData(compressedString: string): NockCassetteData { return msgpack.decode(decompressed) as NockCassetteData; } -// deno-lint-ignore no-unused-vars class HashedCassette { + hash: string; private recording = true; constructor( private readonly cassettePath: string, - private readonly hash: string - ) {} + hash: string + ) { + this.hash = hash; + } async enter() { try { diff --git a/docs/_scripts/assets/vcr_setup_preamble.py b/docs/_scripts/assets/vcr_setup_preamble.py index efa9c7109..5ff39a1cd 100644 --- a/docs/_scripts/assets/vcr_setup_preamble.py +++ b/docs/_scripts/assets/vcr_setup_preamble.py @@ -63,7 +63,7 @@ class HashedCassette: content = f.read() try: cassette_data = serializer.deserialize(content) - except Exception as e: + except Exception: os.remove(self.cassette_path) else: existing_hash = cassette_data.get("cassette_hash") @@ -96,7 +96,7 @@ class HashedCassette: content = f.read() try: cassette_data = serializer.deserialize(content) - except Exception as e: + except Exception: return result # Update the cassette data with the expected hash. if cassette_data.get("cassette_hash") != self.hash_value: diff --git a/docs/_scripts/hook_state.py b/docs/_scripts/hook_state.py index c9410b478..d99ed5940 100644 --- a/docs/_scripts/hook_state.py +++ b/docs/_scripts/hook_state.py @@ -1,3 +1,4 @@ hook_state = { "document_filename": "__UNKNOWN__", + "document_content": "__UNKNOWN__", } diff --git a/docs/_scripts/notebook_hooks.py b/docs/_scripts/notebook_hooks.py index 6f8b450a8..d84964079 100644 --- a/docs/_scripts/notebook_hooks.py +++ b/docs/_scripts/notebook_hooks.py @@ -16,7 +16,7 @@ from markdown_exec.hooks import SessionHistoryEntry from _scripts.generate_api_reference_links import update_markdown_with_imports from _scripts.notebook_convert import convert_notebook -from _scripts.setup_vcr import load_postamble, load_preamble, _hash_string +from _scripts.setup_vcr import get_hash_for_session, load_postamble, load_preamble, _hash_string logger = logging.getLogger(__name__) logging.basicConfig() @@ -157,7 +157,12 @@ def handle_vcr_setup( try: if hook_state['document_filename'] == '__UNKNOWN__': raise SuperFencesException( - f"error while processing {language} block: document filename is unknown" + f"error while processing {language} block: document filename hasn't been set yet" + ) + + if hook_state['document_content'] == '__UNKNOWN__': + raise SuperFencesException( + f"error while processing {language} block: document content hasn't been set yet" ) if session is None or session == "" and id is None or id == "": @@ -181,8 +186,9 @@ def handle_vcr_setup( # Add context manager at start with explicit __enter__ and __exit__ calls + hash_ = get_hash_for_session(language, session, hook_state['document_content']) wrapped_lines = [ - load_preamble(language, code, cassette_name), + load_preamble(language, hash_, cassette_name), code, ] @@ -220,24 +226,17 @@ def handle_vcr_teardown( session: str, history: list[SessionHistoryEntry], ): - last_inputs = dict(history[-1].inputs) code = load_postamble(language) - md = last_inputs["md"] html = False update_toc = False - path = last_inputs.get("extra", {}).get("path", None) - - if path is None: - logger.warning(f"no document filename found while tearing down {session}!") - else: - logger.info(f"tearing down {language} {session} on {path}") + logger.info(f"tearing down {language} {session} on {hook_state['document_filename']}") kwargs = dict( code=code, session=session, id=f"{id}_vcr_end", - md=md, + md=None, # md is unused by the formatter, but it's a required argument html=html, update_toc=update_toc, extra={}, @@ -344,4 +343,5 @@ def on_post_build(config): def on_pre_page(page: Page, **kwargs: Dict[str, Any]): logger.info(f"on_pre_page: {page.file.src_path}") hook_state['document_filename'] = page.file.src_path + hook_state['document_content'] = page.file.content_string return page diff --git a/docs/_scripts/setup_vcr.py b/docs/_scripts/setup_vcr.py index efd0283a3..b4814bba1 100644 --- a/docs/_scripts/setup_vcr.py +++ b/docs/_scripts/setup_vcr.py @@ -1,7 +1,12 @@ # A list of patterns that, if found in a code block, will cause us to leave that block unchanged. import hashlib +import json import os -from textwrap import dedent +import re +from textwrap import dedent, indent + +from mistune import BlockParser, BlockState, Markdown, create_markdown +from mistune.renderers.markdown import MarkdownRenderer preambles = { "python": "vcr_setup_preamble.py", @@ -50,21 +55,19 @@ preamble_cleanups = { } -def load_preamble(language: str, code: str, cassette_name: str) -> str: +def load_preamble(language: str, hash_: str, cassette_name: str) -> str: """Load the source code for the preamble for a given language.""" _assets_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "assets") preamble_path = os.path.join(_assets_dir, preambles[language]) with open(preamble_path, "r") as f: lines = f.readlines() - hash_ = _hash_string(code) lines.append(preamble_inits[language](cassette_name, hash_)) return "\n".join(lines).strip() def load_postamble(language: str) -> str: """Load the source code for the postamble for a given language.""" - return preamble_cleanups[language]() @@ -75,3 +78,63 @@ def _hash_string(input_string: str) -> str: sha256_hash = hashlib.sha256(encoded_string) # Get the hexadecimal digest of the hash return sha256_hash.hexdigest() + + +def extract_code_blocks_for_session(language: str, session: str, content: str) -> str: + code_blocks_for_session = [] + + TAB_REGEX = r"^===!? \"(?P[^\"]+)\"\n(?P<content>(?:(?P<indent> )+[^\n]*\n)+)" + def parse_tabs(block: BlockParser, m: re.Match, state: BlockState) -> str: + state.append_token( + { + "raw": m.group(0), + "type": "block_tab", + "attrs": { + "title": m.group("title"), + "level": len(m.group("indent")) // 4, + "content": dedent(m.group("content")).strip(), + }, + } + ) + return m.end() + + def render_tabs(self, token: dict, state: BlockState): + recursive_transformer = create_markdown(renderer=DocumentRenderer()) + recursive_transformer.block.register("block_tab", TAB_REGEX, parse_tabs, before='list') + recursive_transformer.renderer.register("block_tab", render_tabs) + return ( + f'=== "{token["attrs"]["title"]}"\n' + f'{indent(recursive_transformer(token["attrs"]["content"]), " " * token["attrs"]["level"])}\n' + ) + + class DocumentRenderer(MarkdownRenderer): + def block_code(self, token: dict, state: BlockState): + if token["style"] == "fenced": + if token["attrs"]["info"]: + attributes = {} + block_language = token["attrs"]["info"].split()[0] + for match in re.finditer(r'(?P<key>\w+)=(?:(?P<value>(?:[\w]+))|"(?P<value_quoted>(?:[^"\s]+))")', token["attrs"]["info"]): + attributes[match.group("key")] = match.group("value") or match.group("value_quoted") + if block_language == language and "session" in attributes and attributes["session"] == session: + code_blocks_for_session.append(token["raw"].rstrip()) + return super().block_code(token, state) + + transformer: Markdown = create_markdown(renderer=DocumentRenderer()) + transformer.block.register("block_tab", TAB_REGEX, parse_tabs, before='list') + transformer.renderer.register("block_tab", render_tabs) + + # Parses the page content, which causes the code blocks to be added to the code_blocks_for_session list. + # There's probably some way to do this by using the renderer as a filter, but I would've had to NO-OP + # all of the default behavior, and this was easier. + transformer(content) + + return code_blocks_for_session + + +def get_hash_for_session(language: str, session: str, content: str) -> str: + # include the preamble in the hash so we invalidate if it changes + preamble_hash = _hash_string(load_preamble(language, session, "test")) + + code_blocks_for_session = [preamble_hash, *extract_code_blocks_for_session(language, session, content)] + + return _hash_string("\n".join(code_blocks_for_session)) diff --git a/docs/cassettes/how-tos_branching_1_python.msgpack.zlib b/docs/cassettes/how-tos_branching_1_python.msgpack.zlib new file mode 100644 index 000000000..befbdb9ae --- /dev/null +++ b/docs/cassettes/how-tos_branching_1_python.msgpack.zlib @@ -0,0 +1 @@ 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\ No newline at end of file diff --git a/docs/cassettes/how-tos_create-react-agent_1_python.msgpack.zlib b/docs/cassettes/how-tos_create-react-agent_1_python.msgpack.zlib index 19c0d41f5..6bbb4f0a2 100644 --- a/docs/cassettes/how-tos_create-react-agent_1_python.msgpack.zlib +++ b/docs/cassettes/how-tos_create-react-agent_1_python.msgpack.zlib @@ -1 +1 @@ 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 \ No newline at end of file diff --git a/docs/cassettes/how-tos_state-reducers_1_python.msgpack.zlib b/docs/cassettes/how-tos_state-reducers_1_python.msgpack.zlib new file mode 100644 index 000000000..7bb12651d --- /dev/null +++ b/docs/cassettes/how-tos_state-reducers_1_python.msgpack.zlib @@ -0,0 +1 @@ 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GcEkQTqIUscj/EV0hBIA41UmicIyxaGil+ayzxGedzaQ+ngFOoql57wd6i5UJY3OpjyErOcOlfEEv7/2TBxckzeYa/hqFu0FmWgj2y12MqcX9daRJplbIFHyMohZ7UWHwNlqglAuNpZU2tuwc0iRDRgliJs7lMswULfv7SRtmapjpqjBTKFtcbJrkhiDqdFPvKvYDPc+5fZbaaJpkwNqaNMk1yrbhszUKd8N8VgOLJfksWvJXob7XaZKSssucJhltb5okjajmOFU6JRq7JOZxxAlhQkSCYatckyb5Ok3y20SXpQOm6fZ12X/1lyZSBHiWxSmJuEuoSImKiUwTb/2MY2q4SbQSNuEyIVgZE5E0AjshRDNNov8Hj0iJFQ== \ No newline at end of file diff --git a/docs/poetry.lock b/docs/poetry.lock index 46f77bb2b..fefe86792 100644 --- a/docs/poetry.lock +++ b/docs/poetry.lock @@ -1016,12 +1016,12 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" -groups = ["docs", "test"] +groups = ["main", "docs", "test"] files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] -markers = {docs = "python_version <= \"3.11\" or python_version >= \"3.12\"", test = "(platform_system == \"Windows\" or sys_platform == \"win32\" or os_name == \"nt\") and (python_version <= \"3.11\" or python_version >= \"3.12\")"} +markers = {main = "sys_platform == \"win32\" and (python_version <= \"3.11\" or python_version >= \"3.12\")", docs = "python_version <= \"3.11\" or python_version >= \"3.12\"", test = "(platform_system == \"Windows\" or sys_platform == \"win32\" or os_name == \"nt\") and (python_version <= \"3.11\" or python_version >= \"3.12\")"} [[package]] name = "coloredlogs" @@ -1416,7 +1416,7 @@ version = "1.2.2" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" -groups = ["docs", "test"] +groups = ["main", "docs", "test"] markers = "python_version < \"3.11\"" files = [ {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"}, @@ -2462,6 +2462,19 @@ enabler = ["pytest-enabler (>=2.2)"] test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"] type = ["pytest-mypy"] +[[package]] +name = "iniconfig" +version = "2.0.0" +description = "brain-dead simple config-ini parsing" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" +files = [ + {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, + {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, +] + [[package]] name = "ipykernel" version = "6.29.5" @@ -5234,7 +5247,7 @@ version = "24.2" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" -groups = ["docs", "test"] +groups = ["main", "docs", "test"] markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"}, @@ -5522,6 +5535,23 @@ docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-a test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"] type = ["mypy (>=1.11.2)"] +[[package]] +name = "pluggy" +version = "1.5.0" +description = "plugin and hook calling mechanisms for python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" +files = [ + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, +] + +[package.extras] +dev = ["pre-commit", "tox"] +testing = ["pytest", "pytest-benchmark"] + [[package]] name = "posthog" version = "3.12.1" @@ -6382,6 +6412,30 @@ files = [ [package.extras] dev = ["build", "flake8", "mypy", "pytest", "twine"] +[[package]] +name = "pytest" +version = "8.3.4" +description = "pytest: simple powerful testing with Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" +files = [ + {file = "pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6"}, + {file = "pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "sys_platform == \"win32\""} +exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} +iniconfig = "*" +packaging = "*" +pluggy = ">=1.5,<2" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} + +[package.extras] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] + [[package]] name = "python-dateutil" version = "2.9.0.post0" @@ -7755,7 +7809,7 @@ version = "2.2.1" description = "A lil' TOML parser" optional = false python-versions = ">=3.8" -groups = ["docs", "test"] +groups = ["main", "docs", "test"] markers = "python_version < \"3.11\"" files = [ {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"}, @@ -8634,4 +8688,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = "^3.10" -content-hash = "06debb82135affdb2baf1fdcc028c062c236121508d787588cd0de1db2da11e4" +content-hash = "cbcc30bb9bdead3545070eedf47fb83fe971d4914613e2188323fb3e91035e76" diff --git a/docs/pyproject.toml b/docs/pyproject.toml index b916ed75a..c6a32d27b 100644 --- a/docs/pyproject.toml +++ b/docs/pyproject.toml @@ -10,6 +10,7 @@ readme = "README.md" python = "^3.10" aiohappyeyeballs = "2.4.3" hub = "^3.0.1" +pytest = "^8.3.4" [tool.poetry.group.docs.dependencies] langgraph = { path = "../libs/langgraph/", develop = true } diff --git a/docs/tests/unit_tests/test_cassette_hash.py b/docs/tests/unit_tests/test_cassette_hash.py new file mode 100644 index 000000000..4c1443af2 --- /dev/null +++ b/docs/tests/unit_tests/test_cassette_hash.py @@ -0,0 +1,117 @@ +import re +from textwrap import dedent + +import pytest +from _scripts.hook_state import hook_state +from _scripts.notebook_hooks import handle_vcr_setup +from _scripts.setup_vcr import extract_code_blocks_for_session, get_hash_for_session + +INITIAL_DOCUMENT_CONTENT = dedent( + """ + Blah blah blah + + ```python exec="on" source="above" session="1" result="ansi" + print("FIRST_CODE_BLOCK") + ``` + + Blah blah blah! + + ```python exec="on" source="above" session="1" result="ansi" + print("SECOND_CODE_BLOCK") + ``` + + more blah blah blah + """ +) + + +@pytest.mark.parametrize( + "replace_string", + [ + "FIRST_CODE_BLOCK", + "SECOND_CODE_BLOCK", + ], +) +def test_changing_block_in_session_invalidates_hash(replace_string: str): + hook_state['document_filename'] = 'test.md' + hook_state['document_content'] = INITIAL_DOCUMENT_CONTENT + + code = "print('Hello, world!')" + + result1 = handle_vcr_setup( + formatter=lambda **kwargs: None, + language="python", + session="1", + id="test", + code=code, + md=None, + extra={}, + ) + + cassette_init_expr = re.compile(r"^_cassette = HashedCassette\('[^']+', '(?P<hash>[^']+)'\)$") + assert result1['transform_source'] + execute_source, display_source = result1['transform_source'](code) + assert display_source == code + cassette_init_line = [line for line in execute_source.splitlines() if line.startswith("_cassette = HashedCassette(")][0] + assert cassette_init_line + match = cassette_init_expr.match(cassette_init_line) + assert match + hash_ = str(match.group('hash')) + + # change the content of the second block of code + hook_state['document_content'] = INITIAL_DOCUMENT_CONTENT.replace(replace_string, "world") + assert hook_state['document_content'] != INITIAL_DOCUMENT_CONTENT + + result2 = handle_vcr_setup( + formatter=lambda **kwargs: None, + language="python", + session="1", + id="test", + code=code, + md=None, + extra={}, + ) + + assert result2['transform_source'] + execute_source, display_source = result2['transform_source'](code) + assert display_source == code + cassette_init_line = [line for line in execute_source.splitlines() if line.startswith("_cassette = HashedCassette(")][0] + assert cassette_init_line + match = cassette_init_expr.match(cassette_init_line) + assert match + + # this is the important part + assert str(match.group('hash')) != hash_ + +@pytest.mark.parametrize( + "replace_string", + [ + "FIRST_CODE_BLOCK", + "SECOND_CODE_BLOCK", + ], +) +def test_get_hash_for_session(replace_string: str): + hash_ = get_hash_for_session( + language="python", + session="1", + content=INITIAL_DOCUMENT_CONTENT, + ) + + content = INITIAL_DOCUMENT_CONTENT.replace(replace_string, "world") + assert content != INITIAL_DOCUMENT_CONTENT + assert get_hash_for_session( + language="python", + session="1", + content=INITIAL_DOCUMENT_CONTENT.replace(replace_string, "world"), + ) != hash_ + +def test_get_code_blocks_for_session(): + code_blocks = extract_code_blocks_for_session( + language="python", + session="1", + content=INITIAL_DOCUMENT_CONTENT, + ) + assert code_blocks + assert len(code_blocks) == 2 + assert code_blocks[0] == 'print("FIRST_CODE_BLOCK")' + assert code_blocks[1] == 'print("SECOND_CODE_BLOCK")' diff --git a/docs/tests/unit_tests/test_highlights.py b/docs/tests/unit_tests/test_highlights.py index 179204e33..90bb9a09a 100644 --- a/docs/tests/unit_tests/test_highlights.py +++ b/docs/tests/unit_tests/test_highlights.py @@ -111,7 +111,7 @@ print("Hello, World!") END_TO_END_INPUT_HIGHLIGHT_1_EXPECT = """\ -```python exec="on" source="below" hl_lines="2" path="dummy.md" +```python exec="on" source="below" hl_lines="2" print("Hello, World!") print("Hello, World!") ```