From 4a91ef7f65bbc7d25d7c38a8dd174a93e3956367 Mon Sep 17 00:00:00 2001 From: Amine Lemaizi <40530011+aminelemaizi@users.noreply.github.com> Date: Fri, 15 Aug 2025 01:20:33 +0100 Subject: [PATCH 1/3] updating media save: choosing filename, adding data save to parquet --- coded-flows/coded_flows/utils/__init__.py | 5 +- coded-flows/coded_flows/utils/media.py | 90 ++++++++++++++++--- coded-flows/pyproject.toml | 4 +- coded-flows/tests/test_data_save.py | 103 +++++++++++++++++----- 4 files changed, 163 insertions(+), 39 deletions(-) diff --git a/coded-flows/coded_flows/utils/__init__.py b/coded-flows/coded_flows/utils/__init__.py index 9254d52..bd7bb18 100644 --- a/coded-flows/coded_flows/utils/__init__.py +++ b/coded-flows/coded_flows/utils/__init__.py @@ -1,9 +1,10 @@ from .converters import convert_type, conversion_mapping -from .media import save_image_to_temp, save_data_to_temp +from .media import save_image_to_temp, save_data_to_json, save_data_to_parquet __all__ = [ "convert_type", "conversion_mapping", "save_image_to_temp", - "save_data_to_temp", + "save_data_to_json", + "save_data_to_parquet", ] diff --git a/coded-flows/coded_flows/utils/media.py b/coded-flows/coded_flows/utils/media.py index 5b56da7..a1f0770 100644 --- a/coded-flows/coded_flows/utils/media.py +++ b/coded-flows/coded_flows/utils/media.py @@ -1,15 +1,18 @@ import os import uuid import tempfile -from typing import Union, List, Dict, Any -from io import BytesIO +import json +import pyarrow as pa +import pyarrow.parquet as pq import numpy as np import pandas as pd +from typing import Union, List, Dict, Any +from io import BytesIO from PIL import Image -def save_image_to_temp(image): - random_filename = f"cfimg_{uuid.uuid4().hex}.png" +def save_image_to_temp(image, filename=None): + random_filename = f"cfimg_{filename if filename else uuid.uuid4().hex}.png" temp_dir = os.path.join(tempfile.gettempdir(), "coded-flows-media") os.makedirs(temp_dir, exist_ok=True) file_path = os.path.join(temp_dir, random_filename) @@ -38,8 +41,8 @@ def save_image_to_temp(image): return file_path -def _save_df_to_json(df: pd.DataFrame) -> str: - random_filename = f"cfdata_{uuid.uuid4().hex}.json" +def _save_df_to_json(df: pd.DataFrame, filename: str = None) -> str: + random_filename = f"cfdata_{filename if filename else uuid.uuid4().hex}.json" temp_dir = os.path.join(tempfile.gettempdir(), "coded-flows-media") os.makedirs(temp_dir, exist_ok=True) file_path = os.path.join(temp_dir, random_filename) @@ -47,13 +50,26 @@ def _save_df_to_json(df: pd.DataFrame) -> str: return file_path -# List, DataSeries, NDArray, DataRecords, DataFrame -def save_data_to_temp( +def _save_arrow_table_to_json(table: pa.Table, filename: str = None) -> str: + random_filename = f"cfdata_{filename if filename else uuid.uuid4().hex}.json" + temp_dir = os.path.join(tempfile.gettempdir(), "coded-flows-media") + os.makedirs(temp_dir, exist_ok=True) + file_path = os.path.join(temp_dir, random_filename) + records = table.to_pylist() + with open(file_path, "w") as f: + json.dump(records, f, separators=(",", ":")) + + return file_path + + +# List, DataSeries, NDArray, DataRecords, DataFrame, Arrow +def save_data_to_json( *data_args: Union[ - pd.DataFrame, pd.Series, np.ndarray, List[Dict[str, Any]], List[Any] + pd.DataFrame, pd.Series, pa.Table, np.ndarray, List[Dict[str, Any]], List[Any] ], labels: List[str] = [], - is_table=False, + is_table: bool = False, + filename: str = None, ) -> str: labels = ["values"] if is_table else labels @@ -69,6 +85,7 @@ def save_data_to_temp( if is_table and ( isinstance(data, pd.DataFrame) + or isinstance(data, pa.Table) or ( isinstance(data, list) and all(isinstance(item, dict) for item in data[:50]) ) @@ -76,10 +93,12 @@ def save_data_to_temp( table_df = None if isinstance(data, pd.DataFrame): table_df = data + elif isinstance(data, pa.Table): + return _save_arrow_table_to_json(data, filename) else: table_df = pd.DataFrame.from_records(data) - return _save_df_to_json(table_df) + return _save_df_to_json(table_df, filename) normalized_data = [] max_length = 0 @@ -89,6 +108,10 @@ def save_data_to_temp( if label not in data.columns: raise ValueError(f"Label '{label}' not found in DataFrame columns.") col_data = data[label].values + elif isinstance(data, pa.Table): + if label not in data.column_names: + raise ValueError(f"Label '{label}' not found in Arrow table columns.") + col_data = data.column(label).to_pylist() elif isinstance(data, pd.Series): col_data = data.values elif isinstance(data, np.ndarray): @@ -114,4 +137,47 @@ def save_data_to_temp( combined_df = pd.concat(normalized_data, axis=1) combined_df = combined_df.reindex(range(max_length)).reset_index(drop=True) - return _save_df_to_json(combined_df) + return _save_df_to_json(combined_df, filename) + + +def save_data_to_parquet( + data: Union[ + pd.DataFrame, pd.Series, pa.Table, np.ndarray, List[Dict[str, Any]], List[Any] + ], + filename=None, +) -> str: + + if ( + isinstance(data, pd.DataFrame) + or isinstance(data, pa.Table) + or ( + isinstance(data, list) and all(isinstance(item, dict) for item in data[:50]) + ) + ): + + random_filename = f"cfdata_{filename if filename else uuid.uuid4().hex}.parquet" + temp_dir = os.path.join(tempfile.gettempdir(), "coded-flows-media") + os.makedirs(temp_dir, exist_ok=True) + file_path = os.path.join(temp_dir, random_filename) + + try: + + # Handle different data types + if isinstance(data, pd.DataFrame): + data.to_parquet( + file_path, row_group_size=50000, index=False, engine="pyarrow" + ) + + elif isinstance(data, pa.Table): + pq.write_table(data, file_path, row_group_size=50000) + + else: + table = pa.Table.from_pylist(data) + pq.write_table(table, file_path, row_group_size=50000) + + return file_path + + except Exception as e: + raise Exception(f"❌ Error saving data to parquet: {str(e)}") + else: + raise TypeError(f"Unsupported data type: {type(data)}") diff --git a/coded-flows/pyproject.toml b/coded-flows/pyproject.toml index 3777215..f454d15 100644 --- a/coded-flows/pyproject.toml +++ b/coded-flows/pyproject.toml @@ -1,12 +1,12 @@ [tool.poetry] name = "coded-flows" -version = "0.5.1" +version = "0.6.0" description = "Various utilities for Coded Flows" authors = ["COLOR CODED CODES "] readme = "README.md" [tool.poetry.dependencies] -python = "^3.9" +python = "^3.10" pandas = "^2.1.0" pyarrow = "^16.0.0" pydantic = {version = "^2.6.4", extras = ["email"]} diff --git a/coded-flows/tests/test_data_save.py b/coded-flows/tests/test_data_save.py index dba83fd..2732ab7 100644 --- a/coded-flows/tests/test_data_save.py +++ b/coded-flows/tests/test_data_save.py @@ -1,8 +1,11 @@ +import os import pytest import pandas as pd +import pandas.testing as pdt +import pyarrow as pa +import pyarrow.parquet as pq import numpy as np -import os -from coded_flows.utils import save_data_to_temp +from coded_flows.utils import save_data_to_json, save_data_to_parquet def test_valid_inputs(): @@ -10,9 +13,12 @@ def test_valid_inputs(): series = pd.Series([100, 200, 300], name="w") arr = np.array([20, 21, 22]) data_records = [{"key1": 30}, {"key1": 31}, {"key1": 32}] + arrow_table = pa.table({"col1": [1, 2, 3], "col2": ["a", "b", "c"]}) - labels = ["x", "y", "z", "w"] - file_path = save_data_to_temp(df, series, arr, data_records, labels=labels) + labels = ["x", "y", "z", "w", "col1"] + file_path = save_data_to_json( + df, series, arr, data_records, arrow_table, labels=labels + ) # Check file existence assert os.path.exists(file_path), "Output file does not exist." @@ -21,7 +27,7 @@ def test_valid_inputs(): with open(file_path, "r") as f: json_content = f.read() - expected_content = '[{"x":1,"y":100,"z":20,"w":null},{"x":2,"y":200,"z":21,"w":null},{"x":3,"y":300,"z":22,"w":null}]' + expected_content = '[{"x":1,"y":100,"z":20,"w":null,"col1":1},{"x":2,"y":200,"z":21,"w":null,"col1":2},{"x":3,"y":300,"z":22,"w":null,"col1":3}]' assert json_content.strip() == expected_content, "JSON content mismatch." os.remove(file_path) @@ -34,7 +40,7 @@ def test_mismatched_labels(): ValueError, match="The number of data arguments must match the number of labels.", ): - save_data_to_temp(df, labels=labels) + save_data_to_json(df, labels=labels) def test_missing_column_in_dataframe(): @@ -42,7 +48,7 @@ def test_missing_column_in_dataframe(): labels = ["z"] with pytest.raises(ValueError, match="Label 'z' not found in DataFrame columns."): - save_data_to_temp(df, labels=labels) + save_data_to_json(df, labels=labels) def test_invalid_numpy_array(): @@ -52,7 +58,7 @@ def test_invalid_numpy_array(): with pytest.raises( ValueError, match="NumPy array for label 'x' must be one-dimensional." ): - save_data_to_temp(arr, labels=labels) + save_data_to_json(arr, labels=labels) def test_invalid_data_type(): @@ -60,7 +66,7 @@ def test_invalid_data_type(): labels = ["x"] with pytest.raises(TypeError, match="Unsupported data type: "): - save_data_to_temp(invalid_data, labels=labels) + save_data_to_json(invalid_data, labels=labels) def test_variable_lengths(): @@ -68,7 +74,7 @@ def test_variable_lengths(): arr = np.array([20, 21, 22]) # Different length labels = ["x", "y"] - file_path = save_data_to_temp(df, arr, labels=labels) + file_path = save_data_to_json(df, arr, labels=labels) # Check JSON content with open(file_path, "r") as f: @@ -86,7 +92,7 @@ def test_series_input(): series2 = pd.Series([10, 20, 30], name="y") labels = ["x", "y"] - file_path = save_data_to_temp(series1, series2, labels=labels) + file_path = save_data_to_json(series1, series2, labels=labels) # Check JSON content with open(file_path, "r") as f: @@ -99,12 +105,12 @@ def test_series_input(): os.remove(file_path) -def test_save_data_to_temp_is_table_true_with_dataframe(): +def test_save_data_to_json_is_table_true_with_dataframe(): # Create a sample DataFrame df = pd.DataFrame({"col1": [1, 2, 3], "col2": ["a", "b", "c"]}) # Call the function with `is_table=True` - json_path = save_data_to_temp(df, is_table=True) + json_path = save_data_to_json(df, is_table=True) # Assert the file exists assert os.path.exists(json_path), "JSON file was not created." @@ -118,7 +124,29 @@ def test_save_data_to_temp_is_table_true_with_dataframe(): os.remove(json_path) -def test_save_data_to_temp_is_table_true_with_list_of_records(): +def test_save_data_to_json_is_table_true_with_arrow_table(): + # Create a sample Arrow Table + table = pa.table({"col1": [1, 2, 3], "col2": ["a", "b", "c"]}) + + # Call the function with `is_table=True` + json_path = save_data_to_json(table, is_table=True) + + # Assert the file exists + assert os.path.exists(json_path), "JSON file was not created." + + # Assert the file content matches the Arrow table content + with open(json_path, "r") as f: + saved_data = pd.read_json(f, orient="records") + + # Convert Arrow table to DataFrame for comparison + expected_df = table.to_pandas() + pd.testing.assert_frame_equal(saved_data, expected_df) + + # Clean up + os.remove(json_path) + + +def test_save_data_to_json_is_table_true_with_list_of_records(): # Create a sample list of records records = [ {"col1": 1, "col2": "a"}, @@ -127,7 +155,7 @@ def test_save_data_to_temp_is_table_true_with_list_of_records(): ] # Call the function with `is_table=True` - json_path = save_data_to_temp(records, is_table=True) + json_path = save_data_to_json(records, is_table=True) # Assert the file exists assert os.path.exists(json_path), "JSON file was not created." @@ -142,10 +170,10 @@ def test_save_data_to_temp_is_table_true_with_list_of_records(): os.remove(json_path) -def test_save_data_to_temp_is_table_true_numpy_array(): +def test_save_data_to_json_is_table_true_numpy_array(): # NumPy array input data = np.array([1, 2, 3, 4, 5, 6]) - json_path = save_data_to_temp(data, is_table=True) + json_path = save_data_to_json(data, is_table=True) assert os.path.exists(json_path) with open(json_path, "r") as f: saved_data = pd.read_json(f, orient="records") @@ -156,10 +184,10 @@ def test_save_data_to_temp_is_table_true_numpy_array(): os.remove(json_path) -def test_save_data_to_temp_is_table_true_list(): +def test_save_data_to_json_is_table_true_list(): # List input data = [1, 2, 3, 4, 5, 6] - json_path = save_data_to_temp(data, is_table=True) + json_path = save_data_to_json(data, is_table=True) assert os.path.exists(json_path) with open(json_path, "r") as f: saved_data = pd.read_json(f, orient="records") @@ -170,10 +198,10 @@ def test_save_data_to_temp_is_table_true_list(): os.remove(json_path) -def test_save_data_to_temp_is_table_true_tuple(): +def test_save_data_to_json_is_table_true_tuple(): # Tuple input data = (1, 2, 3, 4, 5, 6) - json_path = save_data_to_temp(data, is_table=True) + json_path = save_data_to_json(data, is_table=True) assert os.path.exists(json_path) with open(json_path, "r") as f: saved_data = pd.read_json(f, orient="records") @@ -184,10 +212,10 @@ def test_save_data_to_temp_is_table_true_tuple(): os.remove(json_path) -def test_save_data_to_temp_is_table_true_series(): +def test_save_data_to_json_is_table_true_series(): # Series input series = pd.Series([1, 2, 3], name="col1") - json_path = save_data_to_temp(series, is_table=True) + json_path = save_data_to_json(series, is_table=True) assert os.path.exists(json_path) with open(json_path, "r") as f: saved_data = pd.read_json(f, orient="records") @@ -196,3 +224,32 @@ def test_save_data_to_temp_is_table_true_series(): # Clean up os.remove(json_path) + + +def test_dataframe_to_parquet(): + df = pd.DataFrame({"x": [1, 2, 3], "z": [7, 8, 9]}) + + file_path = save_data_to_parquet(df) + + # Check file existence + assert os.path.exists(file_path), "Output file does not exist." + + # Read back from Parquet into DataFrame + df_loaded = pd.read_parquet(file_path, engine="pyarrow") + + pdt.assert_frame_equal(df.sort_index(axis=1), df_loaded.sort_index(axis=1)) + os.remove(file_path) + + +def test_arrow_table_to_parquet(): + table = pa.table({"x": [1, 2, 3], "z": [7, 8, 9]}) + + file_path = save_data_to_parquet(table) + + assert os.path.exists(file_path), "Output file does not exist." + + table_loaded = pq.read_table(file_path) + + assert table.equals(table_loaded), "Saved and loaded Arrow tables are not equal." + + os.remove(file_path) From 33b74c74a634ac149b11e5c23de0ebf20916761b Mon Sep 17 00:00:00 2001 From: Amine Lemaizi <40530011+aminelemaizi@users.noreply.github.com> Date: Fri, 15 Aug 2025 01:27:49 +0100 Subject: [PATCH 2/3] fixing tests --- .github/workflows/coded-flows-publish.yml | 2 +- .github/workflows/python-package-test.yml | 2 +- coded-flows/poetry.lock | 47 +++++++++++++++++++---- 3 files changed, 41 insertions(+), 10 deletions(-) diff --git a/.github/workflows/coded-flows-publish.yml b/.github/workflows/coded-flows-publish.yml index e199bd9..f84e8d7 100644 --- a/.github/workflows/coded-flows-publish.yml +++ b/.github/workflows/coded-flows-publish.yml @@ -25,7 +25,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v3 with: - python-version: '3.8' + python-version: '3.10' - name: Install Poetry run: pip install poetry diff --git a/.github/workflows/python-package-test.yml b/.github/workflows/python-package-test.yml index 2d0e930..ce7720a 100644 --- a/.github/workflows/python-package-test.yml +++ b/.github/workflows/python-package-test.yml @@ -19,7 +19,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: ['3.9', '3.10', '3.11', '3.12'] + python-version: ['3.10', '3.11', '3.12', '3.13'] steps: - uses: actions/checkout@v3 diff --git a/coded-flows/poetry.lock b/coded-flows/poetry.lock index e977f88..7cc1d33 100644 --- a/coded-flows/poetry.lock +++ b/coded-flows/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand. [[package]] name = "annotated-types" @@ -6,6 +6,7 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -17,6 +18,8 @@ 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 = ["dev"] +markers = "sys_platform == \"win32\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -28,6 +31,7 @@ version = "2.7.0" description = "DNS toolkit" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "dnspython-2.7.0-py3-none-any.whl", hash = "sha256:b4c34b7d10b51bcc3a5071e7b8dee77939f1e878477eeecc965e9835f63c6c86"}, {file = "dnspython-2.7.0.tar.gz", hash = "sha256:ce9c432eda0dc91cf618a5cedf1a4e142651196bbcd2c80e89ed5a907e5cfaf1"}, @@ -48,6 +52,7 @@ version = "2.2.0" description = "A robust email address syntax and deliverability validation library." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631"}, {file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"}, @@ -63,6 +68,8 @@ version = "1.2.2" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["dev"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"}, {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"}, @@ -77,6 +84,7 @@ version = "7.1.1" description = "the modular source code checker: pep8 pyflakes and co" optional = false python-versions = ">=3.8.1" +groups = ["dev"] files = [ {file = "flake8-7.1.1-py2.py3-none-any.whl", hash = "sha256:597477df7860daa5aa0fdd84bf5208a043ab96b8e96ab708770ae0364dd03213"}, {file = "flake8-7.1.1.tar.gz", hash = "sha256:049d058491e228e03e67b390f311bbf88fce2dbaa8fa673e7aea87b7198b8d38"}, @@ -93,6 +101,7 @@ version = "3.10" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"}, {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"}, @@ -107,6 +116,7 @@ version = "2.0.0" description = "brain-dead simple config-ini parsing" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, @@ -118,6 +128,7 @@ version = "0.7.0" description = "McCabe checker, plugin for flake8" optional = false python-versions = ">=3.6" +groups = ["dev"] files = [ {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"}, {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"}, @@ -129,6 +140,7 @@ version = "2.0.2" description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "numpy-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:51129a29dbe56f9ca83438b706e2e69a39892b5eda6cedcb6b0c9fdc9b0d3ece"}, {file = "numpy-2.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f15975dfec0cf2239224d80e32c3170b1d168335eaedee69da84fbe9f1f9cd04"}, @@ -183,6 +195,7 @@ version = "24.1" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"}, {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"}, @@ -194,6 +207,7 @@ version = "2.2.3" description = "Powerful data structures for data analysis, time series, and statistics" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = 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