diff --git a/.github/workflows/workflow.yml b/.github/workflows/workflow.yml index 3ce76a0..211a74d 100644 --- a/.github/workflows/workflow.yml +++ b/.github/workflows/workflow.yml @@ -16,7 +16,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v3 with: - python-version: '3.8' + python-version: '3.9' - name: Install dependencies run: | diff --git a/extract_thinker/__init__.py b/extract_thinker/__init__.py index c14ad4c..1ac0e48 100644 --- a/extract_thinker/__init__.py +++ b/extract_thinker/__init__.py @@ -3,6 +3,7 @@ from .document_loader.cached_document_loader import CachedDocumentLoader from .document_loader.document_loader_tesseract import DocumentLoaderTesseract from .document_loader.document_loader_spreadsheet import DocumentLoaderSpreadSheet +from .document_loader.document_loader_azure_document_intelligence import DocumentLoaderAzureForm from .document_loader.document_loader_pypdf import DocumentLoaderPyPdf from .document_loader.document_loader_text import DocumentLoaderText from .models import classification, classification_response @@ -18,6 +19,7 @@ 'DocumentLoader', 'CachedDocumentLoader', 'DocumentLoaderTesseract', + 'DocumentLoaderAzureForm', 'DocumentLoaderPyPdf', 'DocumentLoaderText', 'classification', diff --git a/extract_thinker/document_loader/azure_form_recognizer_loader.py b/extract_thinker/document_loader/azure_form_recognizer_loader.py deleted file mode 100644 index 5bc3902..0000000 --- a/extract_thinker/document_loader/azure_form_recognizer_loader.py +++ /dev/null @@ -1,11 +0,0 @@ -from extract_thinker.document_loader.document_loader import DocumentLoader - - -class AzureFormRecognizerLoader(DocumentLoader): - def load_content_from_file(self, file_path): - # Implement this method for Azure Form Recognizer - pass - - def load_content_from_stream(self, stream): - # Implement this method for Azure Form Recognizer - pass diff --git a/extract_thinker/document_loader/document_loader_azure_document_intelligence.py b/extract_thinker/document_loader/document_loader_azure_document_intelligence.py new file mode 100644 index 0000000..6fdd0ee --- /dev/null +++ b/extract_thinker/document_loader/document_loader_azure_document_intelligence.py @@ -0,0 +1,108 @@ +from io import BytesIO +from operator import attrgetter +from typing import Any, List, Union +from azure.core.credentials import AzureKeyCredential +from azure.ai.formrecognizer import AnalyzeResult, DocumentPage, DocumentTable, Point +from azure.ai.formrecognizer import DocumentAnalysisClient +from extract_thinker.document_loader.cached_document_loader import CachedDocumentLoader +from cachetools import cachedmethod +from cachetools.keys import hashkey + + +class DocumentLoaderAzureForm(CachedDocumentLoader): + def __init__(self, subscription_key: str, endpoint: str, content: Any = None, cache_ttl: int = 300): + super().__init__(content, cache_ttl) + self.subscription_key = subscription_key + self.endpoint = endpoint + self.credential = AzureKeyCredential(self.subscription_key) + self.client = DocumentAnalysisClient(endpoint=self.endpoint, credential=self.credential) + + @cachedmethod(cache=attrgetter('cache'), key=lambda self, file_path: hashkey(file_path)) + def load_content_from_file(self, file_path: str) -> Union[str, object]: + try: + with open(file_path, "rb") as document: + poller = self.client.begin_analyze_document("prebuilt-layout", document) + result = poller.result() + return self.process_result(result) + except Exception as e: + raise Exception(f"Error processing file: {e}") from e + + @cachedmethod(cache=attrgetter('cache'), key=lambda self, stream: hashkey(id(stream))) + def load_content_from_stream(self, stream: Union[BytesIO, str]) -> Union[str, object]: + try: + poller = self.client.begin_analyze_document("prebuilt-layout", stream) + result = poller.result() + return self.process_result(result) + except Exception as e: + raise Exception(f"Error processing stream: {e}") from e + + def process_result(self, result: AnalyzeResult) -> List[dict]: + extract_results = [] + tables = self.build_tables(result.tables) + for page in result.pages: + paragraphs = [p.content for p in page.lines] + tables = self.build_tables(result.tables) + # words_with_locations = self.process_words(page) + # Remove lines that are present in tables + paragraphs = self.remove_lines_present_in_tables(paragraphs, tables) + output = { + #"content": result.content, + "paragraphs": paragraphs, + #"words": words_with_locations, + "tables": tables.get(page.page_number, []) + } + extract_results.append(output) + return {"pages": extract_results} + + def remove_lines_present_in_tables(self, paragraphs: List[str], tables: dict[int, List[List[str]]]) -> List[str]: + for table in tables.values(): + for row in table: + for cell in row: + if cell in paragraphs: + paragraphs.remove(cell) + return paragraphs + + def page_to_string(self, page: DocumentPage) -> str: + page_string = "" + for word in page.words: + for point in word.polygon: + page_string += f"({point.x}, {point.y}): {word.content}\n" + return page_string + + def process_words(self, page: DocumentPage) -> List[dict]: + words_with_locations = [] + + for word in page.words: + word_info = { + "content": word.content, + "bounding_box": { + "points": word.polygon + }, + "page_number": page.page_number + } + words_with_locations.append(word_info) + + return words_with_locations + + def build_tables(self, tables: List[DocumentTable]) -> dict[int, List[List[str]]]: + table_data = {} + for table in tables: + rows = [] + for row_idx in range(table.row_count): + row = [] + for cell in table.cells: + if cell.row_index == row_idx: + row.append(cell.content) + rows.append(row) + # Use the page number as the key for the dictionary + table_data[table.bounding_regions[0].page_number] = rows + return table_data + + def build_points(self, bounding_box: List[Point]) -> List[dict]: + return [{"x": point.x, "y": point.y} for point in bounding_box] + + def load_content_from_stream_list(self, stream: BytesIO) -> List[Any]: + pass + + def load_content_from_file_list(self, file_path: str) -> List[Any]: + pass diff --git a/poetry.lock b/poetry.lock index 9a7cc0b..ce1d908 100644 --- a/poetry.lock +++ b/poetry.lock @@ -112,24 +112,24 @@ frozenlist = ">=1.1.0" [[package]] name = "annotated-types" -version = "0.6.0" +version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" files = [ - {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, - {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, ] [[package]] name = "anyio" -version = "4.3.0" +version = "4.4.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.8" files = [ - {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"}, - {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"}, + {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"}, + {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"}, ] [package.dependencies] @@ -173,6 +173,53 @@ tests = ["attrs[tests-no-zope]", "zope-interface"] tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"] tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] +[[package]] +name = "azure-ai-formrecognizer" +version = "3.3.3" +description = "Microsoft Azure Form Recognizer Client Library for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "azure-ai-formrecognizer-3.3.3.tar.gz", hash = "sha256:9fc09788bbb65866630fa870cca1933bfd7298b8055236530bcc0e40d81fcccf"}, + {file = "azure_ai_formrecognizer-3.3.3-py3-none-any.whl", hash = "sha256:81fc1abda8bd898426ee3bbc1b9c6bd164514201ce282129a31d4664f9d1f3bc"}, +] + +[package.dependencies] +azure-common = ">=1.1" +azure-core = ">=1.23.0" +msrest = ">=0.6.21" +typing-extensions = ">=4.0.1" + +[[package]] +name = "azure-common" +version = "1.1.28" +description = "Microsoft Azure Client Library for Python (Common)" +optional = false +python-versions = "*" +files = [ + {file = "azure-common-1.1.28.zip", hash = "sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3"}, + {file = "azure_common-1.1.28-py2.py3-none-any.whl", hash = "sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad"}, +] + +[[package]] +name = "azure-core" +version = "1.30.1" +description = "Microsoft Azure Core Library for Python" +optional = false +python-versions = ">=3.7" +files = [ + {file = "azure-core-1.30.1.tar.gz", hash = "sha256:26273a254131f84269e8ea4464f3560c731f29c0c1f69ac99010845f239c1a8f"}, + {file = "azure_core-1.30.1-py3-none-any.whl", hash = "sha256:7c5ee397e48f281ec4dd773d67a0a47a0962ed6fa833036057f9ea067f688e74"}, +] + +[package.dependencies] +requests = ">=2.21.0" +six = ">=1.11.0" +typing-extensions = ">=4.6.0" + +[package.extras] +aio = ["aiohttp (>=3.0)"] + [[package]] name = "black" version = "21.12b0" @@ -215,13 +262,13 @@ files = [ [[package]] name = "certifi" -version = "2024.2.2" +version = "2024.6.2" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.6" files = [ - {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"}, - {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"}, + {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"}, + {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"}, ] [[package]] @@ -397,13 +444,13 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.13.4" +version = "3.14.0" description = "A platform independent file lock." optional = false python-versions = ">=3.8" files = [ - {file = "filelock-3.13.4-py3-none-any.whl", hash = "sha256:404e5e9253aa60ad457cae1be07c0f0ca90a63931200a47d9b6a6af84fd7b45f"}, - {file = "filelock-3.13.4.tar.gz", hash = "sha256:d13f466618bfde72bd2c18255e269f72542c6e70e7bac83a0232d6b1cc5c8cf4"}, + {file = "filelock-3.14.0-py3-none-any.whl", hash = "sha256:43339835842f110ca7ae60f1e1c160714c5a6afd15a2873419ab185334975c0f"}, + {file = "filelock-3.14.0.tar.gz", hash = "sha256:6ea72da3be9b8c82afd3edcf99f2fffbb5076335a5ae4d03248bb5b6c3eae78a"}, ] [package.extras] @@ -515,13 +562,13 @@ files = [ [[package]] name = "fsspec" -version = "2024.3.1" +version = "2024.6.0" description = "File-system specification" optional = false python-versions = ">=3.8" files = [ - {file = "fsspec-2024.3.1-py3-none-any.whl", hash = "sha256:918d18d41bf73f0e2b261824baeb1b124bcf771767e3a26425cd7dec3332f512"}, - {file = "fsspec-2024.3.1.tar.gz", hash = "sha256:f39780e282d7d117ffb42bb96992f8a90795e4d0fb0f661a70ca39fe9c43ded9"}, + {file = "fsspec-2024.6.0-py3-none-any.whl", hash = "sha256:58d7122eb8a1a46f7f13453187bfea4972d66bf01618d37366521b1998034cee"}, + {file = "fsspec-2024.6.0.tar.gz", hash = "sha256:f579960a56e6d8038a9efc8f9c77279ec12e6299aa86b0769a7e9c46b94527c2"}, ] [package.extras] @@ -529,7 +576,8 @@ abfs = ["adlfs"] adl = ["adlfs"] arrow = ["pyarrow (>=1)"] dask = ["dask", "distributed"] -devel = ["pytest", "pytest-cov"] +dev = ["pre-commit", "ruff"] +doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"] dropbox = ["dropbox", "dropboxdrivefs", "requests"] full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"] fuse = ["fusepy"] @@ -546,6 +594,9 @@ s3 = ["s3fs"] sftp = ["paramiko"] smb = ["smbprotocol"] ssh = ["paramiko"] +test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] +test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"] tqdm = ["tqdm"] [[package]] @@ -606,13 +657,13 @@ socks = ["socksio (==1.*)"] [[package]] name = "huggingface-hub" -version = "0.22.2" +version = "0.23.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" files = [ - {file = "huggingface_hub-0.22.2-py3-none-any.whl", hash = "sha256:3429e25f38ccb834d310804a3b711e7e4953db5a9e420cc147a5e194ca90fd17"}, - {file = "huggingface_hub-0.22.2.tar.gz", hash = "sha256:32e9a9a6843c92f253ff9ca16b9985def4d80a93fb357af5353f770ef74a81be"}, + {file = "huggingface_hub-0.23.3-py3-none-any.whl", hash = "sha256:22222c41223f1b7c209ae5511d2d82907325a0e3cdbce5f66949d43c598ff3bc"}, + {file = "huggingface_hub-0.23.3.tar.gz", hash = "sha256:1a1118a0b3dea3bab6c325d71be16f5ffe441d32f3ac7c348d6875911b694b5b"}, ] [package.dependencies] @@ -625,16 +676,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] inference = ["aiohttp", "minijinja (>=1.0)"] quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] -testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] +testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 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"jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "047a0bc6e650003696373a331d62a070eb264f898d3613222f61649ea9853a12" +content-hash = "432382f136d4deec07dbd380e2bdfe45676cc5020fd29e5312b4e7cab13f8ece" diff --git a/pyproject.toml b/pyproject.toml index 3ac71e8..5040f4d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "extract_thinker" -version = "0.0.3" +version = "0.0.4" description = "Library to extract data from files and documents agnositicaly using LLMs" authors = ["JĂșlio Almeida "] readme = "README.md" @@ -21,6 +21,7 @@ pyyaml = "^6.0.1" tiktoken = "^0.6.0" openpyxl = "^3.1.2" pypdf2 = "^3.0.1" +azure-ai-formrecognizer = "^3.3.3" [tool.poetry.dev-dependencies] flake8 = "^3.9.2" diff --git a/tests/document_loader_azure_document_intelligence.py b/tests/document_loader_azure_document_intelligence.py new file mode 100644 index 0000000..05d6632 --- /dev/null +++ b/tests/document_loader_azure_document_intelligence.py @@ -0,0 +1,25 @@ +import os +from dotenv import load_dotenv + +from extract_thinker.document_loader.document_loader_azure_document_intelligence import DocumentLoaderAzureForm + +cwd = os.getcwd() +load_dotenv() + +# Arrange +subscription_key = os.getenv("AZURE_SUBSCRIPTION_KEY") +endpoint = os.getenv("AZURE_ENDPOINT") +loader = DocumentLoaderAzureForm(subscription_key, endpoint) +test_file_path = os.path.join(cwd, "test_images", "invoice.png") + + +def test_load_content_from_file(): + # Act + content = loader.load_content_from_file(test_file_path) + + firstPage = content["pages"][0] + + # Assert + assert firstPage is not None + assert firstPage["paragraphs"][0] == "Invoice 0000001" + assert len(firstPage["tables"][0]) == 4 diff --git a/tests/extractor.py b/tests/extractor.py index d710f4f..4b1a3d0 100644 --- a/tests/extractor.py +++ b/tests/extractor.py @@ -4,6 +4,7 @@ from extract_thinker.extractor import Extractor from extract_thinker.document_loader.document_loader_tesseract import DocumentLoaderTesseract from tests.models.invoice import InvoiceContract +from extract_thinker.document_loader.document_loader_azure_document_intelligence import DocumentLoaderAzureForm load_dotenv() cwd = os.getcwd() @@ -28,3 +29,24 @@ def test_extract_with_tessaract_and_claude(): assert result is not None assert result.invoice_number == "0000001" assert result.invoice_date == "2014-05-07" + + +def test_extract_with_azure_di_and_claude(): + subscription_key = os.getenv("AZURE_SUBSCRIPTION_KEY") + endpoint = os.getenv("AZURE_ENDPOINT") + test_file_path = os.path.join(cwd, "test_images", "invoice.png") + + extractor = Extractor() + extractor.load_document_loader( + DocumentLoaderAzureForm(subscription_key, endpoint) + ) + extractor.load_llm("claude-3-haiku-20240307") + # Act + result = extractor.extract(test_file_path, InvoiceContract) + + # Assert + assert result is not None + assert result.lines[0].description == "Website Redesign" + assert result.lines[0].quantity == 1 + assert result.lines[0].unit_price == 2500 + assert result.lines[0].amount == 2500 diff --git a/tests/models/invoice.py b/tests/models/invoice.py index 5eed8d0..17d3832 100644 --- a/tests/models/invoice.py +++ b/tests/models/invoice.py @@ -1,6 +1,16 @@ +from typing import List from extract_thinker.models.contract import Contract +class LinesContract(Contract): + description: str + quantity: int + unit_price: int + amount: int + + class InvoiceContract(Contract): invoice_number: str invoice_date: str + lines: List[LinesContract] + total_amount: int