From d1bddffe90122ae562db81dd5872023b083cf15f Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Mon, 5 Sep 2022 12:31:51 -0300 Subject: [PATCH 01/21] feat: start pipeline to aggregate data --- .../pipelines/aggregate_all_years/README.md | 21 +++++++++++++++++++ .../pipelines/aggregate_all_years/__init__.py | 10 +++++++++ .../pipelines/aggregate_all_years/nodes.py | 4 ++++ .../pipelines/aggregate_all_years/pipeline.py | 10 +++++++++ .../pipelines/aggregate_all_years/__init__.py | 0 .../aggregate_all_years/test_pipeline.py | 9 ++++++++ 6 files changed, 54 insertions(+) create mode 100644 src/cartola/pipelines/aggregate_all_years/README.md create mode 100644 src/cartola/pipelines/aggregate_all_years/__init__.py create mode 100644 src/cartola/pipelines/aggregate_all_years/nodes.py create mode 100644 src/cartola/pipelines/aggregate_all_years/pipeline.py create mode 100644 src/tests/pipelines/aggregate_all_years/__init__.py create mode 100644 src/tests/pipelines/aggregate_all_years/test_pipeline.py diff --git a/src/cartola/pipelines/aggregate_all_years/README.md b/src/cartola/pipelines/aggregate_all_years/README.md new file mode 100644 index 00000000..cfdd9cc2 --- /dev/null +++ b/src/cartola/pipelines/aggregate_all_years/README.md @@ -0,0 +1,21 @@ +# Pipeline aggregate_all_years + +> *Note:* This is a `README.md` boilerplate generated using `Kedro 0.18.2`. + +## Overview + + + +## Pipeline inputs + + + +## Pipeline outputs + + diff --git a/src/cartola/pipelines/aggregate_all_years/__init__.py b/src/cartola/pipelines/aggregate_all_years/__init__.py new file mode 100644 index 00000000..f636303f --- /dev/null +++ b/src/cartola/pipelines/aggregate_all_years/__init__.py @@ -0,0 +1,10 @@ +""" +This is a boilerplate pipeline 'aggregate_all_years' +generated using Kedro 0.18.2 +""" + +from cartola.pipelines.aggregate_all_years.pipeline import create_pipeline + +__all__ = ["create_pipeline"] + +__version__ = "0.1" diff --git a/src/cartola/pipelines/aggregate_all_years/nodes.py b/src/cartola/pipelines/aggregate_all_years/nodes.py new file mode 100644 index 00000000..f74f3b7b --- /dev/null +++ b/src/cartola/pipelines/aggregate_all_years/nodes.py @@ -0,0 +1,4 @@ +""" +This is a boilerplate pipeline 'aggregate_all_years' +generated using Kedro 0.18.2 +""" diff --git a/src/cartola/pipelines/aggregate_all_years/pipeline.py b/src/cartola/pipelines/aggregate_all_years/pipeline.py new file mode 100644 index 00000000..2a305290 --- /dev/null +++ b/src/cartola/pipelines/aggregate_all_years/pipeline.py @@ -0,0 +1,10 @@ +""" +This is a boilerplate pipeline 'aggregate_all_years' +generated using Kedro 0.18.2 +""" + +from kedro.pipeline import Pipeline, pipeline + + +def create_pipeline(**kwargs) -> Pipeline: + return pipeline([]) diff --git a/src/tests/pipelines/aggregate_all_years/__init__.py b/src/tests/pipelines/aggregate_all_years/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/tests/pipelines/aggregate_all_years/test_pipeline.py b/src/tests/pipelines/aggregate_all_years/test_pipeline.py new file mode 100644 index 00000000..1668df8e --- /dev/null +++ b/src/tests/pipelines/aggregate_all_years/test_pipeline.py @@ -0,0 +1,9 @@ +""" +This is a boilerplate test file for pipeline 'aggregate_all_years' +generated using Kedro 0.18.2. +Please add your pipeline tests here. + +Kedro recommends using `pytest` framework, more info about it can be found +in the official documentation: +https://docs.pytest.org/en/latest/getting-started.html +""" From 09724e958d06e34f4d241e9b647b9dd5c0afd4d1 Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Wed, 7 Sep 2022 11:29:38 -0300 Subject: [PATCH 02/21] =?UTF-8?q?=E2=9A=92=EF=B8=8F=20chore:=20add=20profi?= =?UTF-8?q?le=20command=20to=20makefile?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Makefile | 3 +++ 1 file changed, 3 insertions(+) diff --git a/Makefile b/Makefile index c4d1d425..65edf88b 100644 --- a/Makefile +++ b/Makefile @@ -30,6 +30,9 @@ mypy: pre-commit: @pre-commit run --all-files +profile: + @pandas_profiling -m -e $(args) report.html + docker-build: @kedro docker build --image cartola From 5472f4033a0afeee1a0572d8f0208895b5ac701c Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Wed, 7 Sep 2022 11:30:15 -0300 Subject: [PATCH 03/21] =?UTF-8?q?=F0=9F=8E=B2feat:=20base=20aggregate=20pi?= =?UTF-8?q?peline?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- conf/base/catalog.yml | 12 ++++++++++++ src/cartola/pipeline_registry.py | 5 ++++- .../pipelines/aggregate_all_years/pipeline.py | 12 ++++++++++-- 3 files changed, 26 insertions(+), 3 deletions(-) diff --git a/conf/base/catalog.yml b/conf/base/catalog.yml index 3fd2208d..c7712166 100644 --- a/conf/base/catalog.yml +++ b/conf/base/catalog.yml @@ -2,3 +2,15 @@ # # Documentation for this file format can be found in "The Data Catalog" # Link: https://kedro.readthedocs.io/en/stable/data/data_catalog.html +aggregated.primary: + type: PartitionedDataSet + path: data/03_primary + dataset: + type: pandas.CSVDataSet + filename_suffix: .csv + +aggregated.concatenated: + type: pandas.CSVDataSet + filepath: data/04_feature/aggregated.csv + save_args: + index: False diff --git a/src/cartola/pipeline_registry.py b/src/cartola/pipeline_registry.py index ce6bdc4b..e5584bf9 100644 --- a/src/cartola/pipeline_registry.py +++ b/src/cartola/pipeline_registry.py @@ -3,7 +3,7 @@ from kedro.pipeline import Pipeline, pipeline -from cartola.pipelines import merge_splitted_datasets, preprocessing +from cartola.pipelines import aggregate_all_years, merge_splitted_datasets, preprocessing def register_pipelines() -> Dict[str, Pipeline]: @@ -68,6 +68,8 @@ def register_pipelines() -> Dict[str, Pipeline]: parameters=params_preprocessing, ) + pipe_aggregate = aggregate_all_years.create_pipeline() + return { "__default__": ( pipe_2014 + pipe_2015 + pipe_2016 + pipe_2017 + pipe_2018 + pipe_2019 + pipe_2020 + pipe_2021 + pipe_2022 @@ -81,4 +83,5 @@ def register_pipelines() -> Dict[str, Pipeline]: "2020": pipe_2020, "2021": pipe_2021, "2022": pipe_2022, + "aggregate": pipe_aggregate, } diff --git a/src/cartola/pipelines/aggregate_all_years/pipeline.py b/src/cartola/pipelines/aggregate_all_years/pipeline.py index 2a305290..228fc4dc 100644 --- a/src/cartola/pipelines/aggregate_all_years/pipeline.py +++ b/src/cartola/pipelines/aggregate_all_years/pipeline.py @@ -3,8 +3,16 @@ generated using Kedro 0.18.2 """ -from kedro.pipeline import Pipeline, pipeline +from kedro.pipeline import Pipeline, node, pipeline + +from cartola.commons.dataframes import concat_partitioned_datasets def create_pipeline(**kwargs) -> Pipeline: - return pipeline([]) + return pipeline( + [ + node(concat_partitioned_datasets, inputs="primary", outputs="concatenated"), + ], + tags=["aggregated"], + namespace="aggregated", + ) From 09c0f52357123200283f92b25d1ff78b01d767fe Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Thu, 8 Sep 2022 21:45:39 -0300 Subject: [PATCH 04/21] =?UTF-8?q?=F0=9F=93=86=20feat:=20add=20year=20colum?= =?UTF-8?q?ns=20to=20preprocessed=20datasets?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- conf/base/parameters.yml | 33 +++++++++++++++++++ conf/base/parameters_2014.yml | 2 ++ conf/base/parameters_2015.yml | 2 ++ conf/base/parameters_2016.yml | 2 ++ conf/base/parameters_2017.yml | 2 ++ conf/base/parameters_2018.yml | 2 ++ conf/base/parameters_2019.yml | 2 ++ conf/base/parameters_2020.yml | 2 ++ conf/base/parameters_2021.yml | 2 ++ conf/base/parameters_2022.yml | 2 ++ src/cartola/pipeline_registry.py | 11 ++++++- src/cartola/pipelines/preprocessing/nodes.py | 5 +++ .../pipelines/preprocessing/pipeline.py | 10 ++++-- 13 files changed, 74 insertions(+), 3 deletions(-) diff --git a/conf/base/parameters.yml b/conf/base/parameters.yml index 74f646a0..55b016cc 100644 --- a/conf/base/parameters.yml +++ b/conf/base/parameters.yml @@ -40,6 +40,39 @@ preprocessing.map_col_names: variacao_num: variacao +preprocessing.map_clube_to_id_clube: + AME: 327 + ATL: + AVA: 314 + BAH: 265 + BOT: 263 + CAM: 282 + CAP: 293 + CEA: + CFC: 294 + CHA: 315 + COR: 264 + CRI: 288 + CRU: 283 + FIG: 316 + FLA: 262 + FLU: 266 + GOI: 290 + GRE: 284 + INT: 285 + JEC: 317 + PAL: 275 + PAR: + PON: 303 + SAN: 277 + SAO: 276 + SCZ: 344 + SPO: 292 + SPT: 292 + VAS: 267 + VIT: 287 + + preprocessing.map_status_id_to_str: 2: Dúvida 3: Suspenso diff --git a/conf/base/parameters_2014.yml b/conf/base/parameters_2014.yml index a4735e5a..4de7f27a 100644 --- a/conf/base/parameters_2014.yml +++ b/conf/base/parameters_2014.yml @@ -4,6 +4,8 @@ # Documentation for this file format can be found in "Parameters" # Link: https://kedro.readthedocs.io/en/0.18.2/kedro_project_setup/configuration.html#parameters +2014.preprocessing.year: 2014 + 2014.preprocessing.scouts: # ataque G: 8.0 # Gol marcado diff --git a/conf/base/parameters_2015.yml b/conf/base/parameters_2015.yml index 0294e9a7..83081c6f 100644 --- a/conf/base/parameters_2015.yml +++ b/conf/base/parameters_2015.yml @@ -4,6 +4,8 @@ # Documentation for this file format can be found in "Parameters" # Link: https://kedro.readthedocs.io/en/0.18.2/kedro_project_setup/configuration.html#parameters +2015.preprocessing.year: 2015 + 2015.preprocessing.scouts: # ataque G: 8.0 # Gol marcado diff --git a/conf/base/parameters_2016.yml b/conf/base/parameters_2016.yml index 0deb9bf6..15b782df 100644 --- a/conf/base/parameters_2016.yml +++ b/conf/base/parameters_2016.yml @@ -4,6 +4,8 @@ # Documentation for this file format can be found in "Parameters" # Link: https://kedro.readthedocs.io/en/0.18.2/kedro_project_setup/configuration.html#parameters +2016.preprocessing.year: 2016 + 2016.preprocessing.scouts: # ataque G: 8.0 # Gol marcado diff --git a/conf/base/parameters_2017.yml b/conf/base/parameters_2017.yml index 016a7e43..8c77d9ae 100644 --- a/conf/base/parameters_2017.yml +++ b/conf/base/parameters_2017.yml @@ -4,6 +4,8 @@ # Documentation for this file format can be found in "Parameters" # Link: https://kedro.readthedocs.io/en/0.18.2/kedro_project_setup/configuration.html#parameters +2017.preprocessing.year: 2017 + 2017.preprocessing.scouts: # ataque G: 8.0 # Gol marcado diff --git a/conf/base/parameters_2018.yml b/conf/base/parameters_2018.yml index 55c417ec..4de69a9e 100644 --- a/conf/base/parameters_2018.yml +++ b/conf/base/parameters_2018.yml @@ -4,6 +4,8 @@ # Documentation for this file format can be found in "Parameters" # Link: https://kedro.readthedocs.io/en/0.18.2/kedro_project_setup/configuration.html#parameters +2018.preprocessing.year: 2018 + 2018.preprocessing.scouts: # ataque G: 8.0 # Gol marcado diff --git a/conf/base/parameters_2019.yml b/conf/base/parameters_2019.yml index 2d2f126f..d3abbde0 100644 --- a/conf/base/parameters_2019.yml +++ b/conf/base/parameters_2019.yml @@ -4,6 +4,8 @@ # Documentation for this file format can be found in "Parameters" # Link: https://kedro.readthedocs.io/en/0.18.2/kedro_project_setup/configuration.html#parameters +2019.preprocessing.year: 2019 + 2019.preprocessing.scouts: # ataque G: 8.0 # Gol marcado diff --git a/conf/base/parameters_2020.yml b/conf/base/parameters_2020.yml index ee707093..41a69749 100644 --- a/conf/base/parameters_2020.yml +++ b/conf/base/parameters_2020.yml @@ -4,6 +4,8 @@ # Documentation for this file format can be found in "Parameters" # Link: https://kedro.readthedocs.io/en/0.18.2/kedro_project_setup/configuration.html#parameters +2020.preprocessing.year: 2020 + 2020.preprocessing.scouts: # ataque G: 8.0 # Gol marcado diff --git a/conf/base/parameters_2021.yml b/conf/base/parameters_2021.yml index a572a51b..38129612 100644 --- a/conf/base/parameters_2021.yml +++ b/conf/base/parameters_2021.yml @@ -4,6 +4,8 @@ # Documentation for this file format can be found in "Parameters" # Link: https://kedro.readthedocs.io/en/0.18.2/kedro_project_setup/configuration.html#parameters +2021.preprocessing.year: 2021 + 2021.preprocessing.scouts: # ataque G: 8.0 # Gol marcado diff --git a/conf/base/parameters_2022.yml b/conf/base/parameters_2022.yml index 67ff8ea7..90a06d69 100644 --- a/conf/base/parameters_2022.yml +++ b/conf/base/parameters_2022.yml @@ -4,6 +4,8 @@ # Documentation for this file format can be found in "Parameters" # Link: https://kedro.readthedocs.io/en/0.18.2/kedro_project_setup/configuration.html#parameters +2022.preprocessing.year: 2022 + 2022.preprocessing.scouts: # ataque G: 8.0 # Gol marcado diff --git a/src/cartola/pipeline_registry.py b/src/cartola/pipeline_registry.py index e5584bf9..e232550e 100644 --- a/src/cartola/pipeline_registry.py +++ b/src/cartola/pipeline_registry.py @@ -72,7 +72,16 @@ def register_pipelines() -> Dict[str, Pipeline]: return { "__default__": ( - pipe_2014 + pipe_2015 + pipe_2016 + pipe_2017 + pipe_2018 + pipe_2019 + pipe_2020 + pipe_2021 + pipe_2022 + pipe_2014 + + pipe_2015 + + pipe_2016 + + pipe_2017 + + pipe_2018 + + pipe_2019 + + pipe_2020 + + pipe_2021 + + pipe_2022 + + pipe_aggregate ), "2014": pipe_2014, "2015": pipe_2015, diff --git a/src/cartola/pipelines/preprocessing/nodes.py b/src/cartola/pipelines/preprocessing/nodes.py index 9999afb3..7aad69ec 100644 --- a/src/cartola/pipelines/preprocessing/nodes.py +++ b/src/cartola/pipelines/preprocessing/nodes.py @@ -30,3 +30,8 @@ def map_status_id_to_string(df: pd.DataFrame, dict_status_to_str: Dict[int, str] df.status.replace(dict_status_to_str, inplace=True) return df + + +def add_year_column(df: pd.DataFrame, year: int): + df["ano"] = year + return df diff --git a/src/cartola/pipelines/preprocessing/pipeline.py b/src/cartola/pipelines/preprocessing/pipeline.py index 3a874d56..f04d7b07 100644 --- a/src/cartola/pipelines/preprocessing/pipeline.py +++ b/src/cartola/pipelines/preprocessing/pipeline.py @@ -6,7 +6,12 @@ from kedro.pipeline import Pipeline, node, pipeline from cartola.commons.dataframes import concat_partitioned_datasets, drop_duplicated_rows, rename_cols -from cartola.pipelines.preprocessing.nodes import fill_empty_slugs, fill_scouts_with_zeros, map_status_id_to_string +from cartola.pipelines.preprocessing.nodes import ( + add_year_column, + fill_empty_slugs, + fill_scouts_with_zeros, + map_status_id_to_string, +) def create_pipeline() -> Pipeline: @@ -17,7 +22,8 @@ def create_pipeline() -> Pipeline: inputs="raw", outputs="concat", ), - node(rename_cols, inputs=["concat", "params:map_col_names"], outputs="df_renamed"), + node(add_year_column, inputs=["concat", "params:year"], outputs="df_year"), + node(rename_cols, inputs=["df_year", "params:map_col_names"], outputs="df_renamed"), node( drop_duplicated_rows, inputs="df_renamed", From 30485873b8ad1a246e431061ca316f5a0dbe0f02 Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Mon, 19 Sep 2022 16:54:42 -0300 Subject: [PATCH 05/21] =?UTF-8?q?=F0=9F=8E=B2=20feat:=20more=20clube=20ids?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- conf/base/parameters.yml | 36 ++++++++++++++++++++++++++++++++++-- 1 file changed, 34 insertions(+), 2 deletions(-) diff --git a/conf/base/parameters.yml b/conf/base/parameters.yml index 55b016cc..4e5e3b49 100644 --- a/conf/base/parameters.yml +++ b/conf/base/parameters.yml @@ -42,35 +42,67 @@ preprocessing.map_col_names: preprocessing.map_clube_to_id_clube: AME: 327 - ATL: + AMÉRICA-MG: 327 + ATHLÉTICO-PR: 293 + ATLÉTICO-GO: 373 + ATLÉTICO-MG: 282 + ATLÉTICO-PR: 293 AVA: 314 + AVAÍ: 314 BAH: 265 + BAHIA: 265 BOT: 263 + BOTAFOGO: 263 + BRAGANTINO: 280 CAM: 282 CAP: 293 - CEA: + CEA: 354 + CEARÁ: 354 CFC: 294 CHA: 315 + CHAPECOENSE: 315 COR: 264 + CORINTHIANS: 264 + CORITIBA: 294 CRI: 288 CRU: 283 + CRUZEIRO: 283 + CSA: 341 + CUIABÁ: 1371 FIG: 316 + FIGUEIRENSE: 316 FLA: 262 + FLAMENGO: 262 FLU: 266 + FLUMINENSE: 266 + FORTALEZA: 356 GOI: 290 + GOIÁS: 290 GRE: 284 + GRÊMIO: 284 INT: 285 + INTERNACIONAL: 285 JEC: 317 + JOINVILLE: 317 + JUVENTUDE: 286 PAL: 275 + PALMEIRAS: 275 PAR: PON: 303 + PONTE PRETA: 303 SAN: 277 + SANTA CRUZ: 344 + SANTOS: 277 + SÃO PAULO: 276 SAO: 276 SCZ: 344 SPO: 292 + SPORT: 292 SPT: 292 VAS: 267 + VASCO: 267 VIT: 287 + VITÓRIA: 287 preprocessing.map_status_id_to_str: From 398b80357517c622443cd0a55114edc20e25bd9c Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Mon, 10 Oct 2022 11:57:01 -0300 Subject: [PATCH 06/21] =?UTF-8?q?chore:=20add=20Paran=C3=A1=20to=20paramet?= =?UTF-8?q?ers.yml?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- conf/base/parameters.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/conf/base/parameters.yml b/conf/base/parameters.yml index 4e5e3b49..9703fed9 100644 --- a/conf/base/parameters.yml +++ b/conf/base/parameters.yml @@ -88,6 +88,7 @@ preprocessing.map_clube_to_id_clube: PAL: 275 PALMEIRAS: 275 PAR: + PARANÁ: PON: 303 PONTE PRETA: 303 SAN: 277 From 4757009a77d646064036e7bcc3d80b13c8a08d0e Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sat, 15 Jun 2024 16:15:45 -0300 Subject: [PATCH 07/21] chore: dependencies and remove unused tests --- .pre-commit-config.yaml | 28 +- poetry.lock | 3665 ++++++++++++----- pyproject.toml | 102 +- src/tests/pipelines/__init__.py | 0 .../pipelines/aggregate_all_years/__init__.py | 0 .../aggregate_all_years/test_pipeline.py | 9 - .../merge_splitted_datasets/__init__.py | 0 .../merge_splitted_datasets/test_pipeline.py | 9 - .../pipelines/preprocessing_2022/__init__.py | 0 .../preprocessing_2022/test_pipeline.py | 9 - 10 files changed, 2822 insertions(+), 1000 deletions(-) delete mode 100644 src/tests/pipelines/__init__.py delete mode 100644 src/tests/pipelines/aggregate_all_years/__init__.py delete mode 100644 src/tests/pipelines/aggregate_all_years/test_pipeline.py delete mode 100644 src/tests/pipelines/merge_splitted_datasets/__init__.py delete mode 100644 src/tests/pipelines/merge_splitted_datasets/test_pipeline.py delete mode 100644 src/tests/pipelines/preprocessing_2022/__init__.py delete mode 100644 src/tests/pipelines/preprocessing_2022/test_pipeline.py diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 22b98955..efa802cc 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -14,36 +14,16 @@ repos: hooks: - id: markdownlint-fix -- repo: https://github.com/dannysepler/rm_unneeded_f_str - rev: v0.1.0 - hooks: - - id: rm-unneeded-f-str - - repo: https://github.com/MarcoGorelli/absolufy-imports rev: v0.3.1 hooks: - id: absolufy-imports -- repo: https://github.com/pycqa/isort - rev: 5.10.1 - hooks: - - id: isort - -- repo: https://github.com/python/black - rev: 22.3.0 - hooks: - - id: black - -- repo: https://github.com/fsouza/autoflake8 - rev: v0.2.2 - hooks: - - id: autoflake8 - args: ['--recursive', '--in-place'] - -- repo: https://gitlab.com/pycqa/flake8 - rev: 3.9.2 +- repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.4.9 hooks: - - id: flake8 + - id: ruff + - id: ruff-format - repo: https://github.com/jendrikseipp/vulture rev: v2.3 diff --git a/poetry.lock b/poetry.lock index 01c107e5..b32980f4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,150 +1,231 @@ +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. + [[package]] name = "aiofiles" -version = "0.6.0" +version = "22.1.0" description = "File support for asyncio." -category = "dev" optional = false -python-versions = "*" +python-versions = ">=3.7,<4.0" +files = [ + {file = "aiofiles-22.1.0-py3-none-any.whl", hash = "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad"}, + {file = "aiofiles-22.1.0.tar.gz", hash = "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6"}, +] + +[[package]] +name = "aiosqlite" +version = "0.20.0" +description = "asyncio bridge to the standard sqlite3 module" +optional = false 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index d67b5da4..524847d9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,24 +9,24 @@ readme = "README.md" [tool.poetry.dependencies] python = "3.10.*" kedro = "0.18.2" -mypy = "^0.982" Unidecode = "^1.3.6" pandas = "^1.5.0" -[tool.poetry.dev-dependencies] +[tool.poetry.group.dev.dependencies] kedro-docker = "^0.3.0" -kedro-telemetry = "^0.2.1" kedro-viz = "^5.1.1" -pytest = "^7.1.3" -pytest-cov = "^4.0.0" -pytest-mock = "^3.10.0" pre-commit = "^2.20.0" jupyterlab = "^3.4.8" -black = "^22.10.0" -flake8 = "^5.0.4" -isort = "^5.10.1" jupyter = "^1.0.0" nbstripout = "^0.6.1" +ruff = "^0.4.9" +mypy = "^0.982" + +[tool.poetry.group.test.dependencies] +pytest = "^7.1.3" +pytest-cov = "^4.0.0" +pytest-mock = "^3.10.0" +pandera = "^0.19.3" [build-system] requires = ["poetry-core"] @@ -37,16 +37,84 @@ package_name = "cartola" project_name = "caRtola" project_version = "0.18.2" -[tool.black] +[tool.ruff] line-length = 120 +exclude = [ + ".cache", + ".config", + ".ipython", + ".dotnet", + "jupyter", + ".local", + ".vscode-server", + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".vscode", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", +] + + +[tool.ruff.lint] +select = [ + "D", + "E", + "F", + "Q0", + "T20", + "COM", + "FBT", + "S", + "YTT", + "N", + "I", + "C90", + "TID", + "ERA", + "RUF", +] +extend-select = ["E501"] +ignore = [ + "D417", # On top of the Google convention, disable `D417`, which requires documentation for every function parameter. + "N815", + "N803", + "COM812", + "N818", + "N805", + "COM819", + "I001", +] +fixable = ["A", "B", "C", "D", "E", "F", "Q", "I"] + + +[tool.ruff.lint.pydocstyle] +convention = "google" + -[tool.isort] -multi_line_output = 3 -include_trailing_comma = true -force_grid_wrap = 0 -use_parentheses = true -line_length = 120 -known_third_party = "kedro" +[tool.ruff.lint.per-file-ignores] +"tests/*.py" = ["D", "S101", "F403", "S106"] [tool.pytest.ini_options] addopts = """ diff --git a/src/tests/pipelines/__init__.py b/src/tests/pipelines/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/tests/pipelines/aggregate_all_years/__init__.py b/src/tests/pipelines/aggregate_all_years/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/tests/pipelines/aggregate_all_years/test_pipeline.py b/src/tests/pipelines/aggregate_all_years/test_pipeline.py deleted file mode 100644 index 1668df8e..00000000 --- a/src/tests/pipelines/aggregate_all_years/test_pipeline.py +++ /dev/null @@ -1,9 +0,0 @@ -""" -This is a boilerplate test file for pipeline 'aggregate_all_years' -generated using Kedro 0.18.2. -Please add your pipeline tests here. - -Kedro recommends using `pytest` framework, more info about it can be found -in the official documentation: -https://docs.pytest.org/en/latest/getting-started.html -""" diff --git a/src/tests/pipelines/merge_splitted_datasets/__init__.py b/src/tests/pipelines/merge_splitted_datasets/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/tests/pipelines/merge_splitted_datasets/test_pipeline.py b/src/tests/pipelines/merge_splitted_datasets/test_pipeline.py deleted file mode 100644 index 65b5e407..00000000 --- a/src/tests/pipelines/merge_splitted_datasets/test_pipeline.py +++ /dev/null @@ -1,9 +0,0 @@ -""" -This is a boilerplate test file for pipeline 'merge_splitted_datasets' -generated using Kedro 0.18.2. -Please add your pipeline tests here. - -Kedro recommends using `pytest` framework, more info about it can be found -in the official documentation: -https://docs.pytest.org/en/latest/getting-started.html -""" diff --git a/src/tests/pipelines/preprocessing_2022/__init__.py b/src/tests/pipelines/preprocessing_2022/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/tests/pipelines/preprocessing_2022/test_pipeline.py b/src/tests/pipelines/preprocessing_2022/test_pipeline.py deleted file mode 100644 index da0970e5..00000000 --- a/src/tests/pipelines/preprocessing_2022/test_pipeline.py +++ /dev/null @@ -1,9 +0,0 @@ -""" -This is a boilerplate test file for pipeline 'preprocessing_2022' -generated using Kedro 0.18.2. -Please add your pipeline tests here. - -Kedro recommends using `pytest` framework, more info about it can be found -in the official documentation: -https://docs.pytest.org/en/latest/getting-started.html -""" From 2d3ff168e053a23daa5a48396bc2f0b13b4b58f2 Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sat, 15 Jun 2024 16:19:55 -0300 Subject: [PATCH 08/21] chore: remove black, isort and flake8 --- Makefile | 9 --------- 1 file changed, 9 deletions(-) diff --git a/Makefile b/Makefile index 65edf88b..aa9eefef 100644 --- a/Makefile +++ b/Makefile @@ -15,15 +15,6 @@ clean: @rm -f MANIFEST @rm -f .coverage.* -black: - @black $(FOLDER_PROJECT) --config pyproject.toml $(args) - -isort: - @isort $(FOLDER_PROJECT) $(args) - -flake8: - @flake8 $(FOLDER_PROJECT) - mypy: @mypy --ignore-missing-imports --exclude download_data.py$$ --exclude __main__.py$$ --strict src/cartola From 6139ea2808afbc9a3c7bf97ddca8e864baaecd27 Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sat, 15 Jun 2024 17:43:45 -0300 Subject: [PATCH 09/21] chore: replace pandas_profiling by ydata_profiling --- .gitignore | 4 + Makefile | 2 +- poetry.lock | 1409 +++++++++++++++++++++++++++++++++++++++++++++--- pyproject.toml | 4 +- 4 files changed, 1337 insertions(+), 82 deletions(-) diff --git a/.gitignore b/.gitignore index 1140a557..160c5327 100644 --- a/.gitignore +++ b/.gitignore @@ -193,3 +193,7 @@ conf/**/*credentials* # custom .telemetry logs/ + +# ydata +report.html +stats.json \ No newline at end of file diff --git a/Makefile b/Makefile index aa9eefef..1d8629a0 100644 --- 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Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sat, 15 Jun 2024 17:45:00 -0300 Subject: [PATCH 10/21] fix: minor in parameters and data --- conf/base/parameters.yml | 10 ++++++++++ conf/base/parameters_2014.yml | 4 ++-- data/01_raw/2014/2014_scouts_raw.csv | 4 ++-- 3 files changed, 14 insertions(+), 4 deletions(-) diff --git a/conf/base/parameters.yml b/conf/base/parameters.yml index 9703fed9..438d32d4 100644 --- a/conf/base/parameters.yml +++ b/conf/base/parameters.yml @@ -8,6 +8,10 @@ preprocessing.map_col_names: atletas.clube_id: id_clube atletas.clube.id.full.name: nome_clube atletas.foto: foto + atletas.gato_mestre.media_minutos_jogados: gm_media_minutos_jogados + atletas.gato_mestre.media_pontos_mandante: gm_media_pontos_mandante + atletas.gato_mestre.media_pontos_visitante: gm_media_pontos_visitante + atletas.gato_mestre.minutos_jogados: gm_minutos_jogados atletas.jogos_num: num_jogos atletas.media_num: media atletas.minimo_para_valorizar: minimo_para_valorizar @@ -23,6 +27,7 @@ preprocessing.map_col_names: ClubeID: id_clube ClubeNome: nome_clube jogos_num: num_jogos + Jogos: num_jogos media_num: media Nome: nome_clube Participou: participou @@ -30,6 +35,7 @@ preprocessing.map_col_names: Pontos: pontos_num PontosMedia: media posicao_id: posicao + Posicao: posicao PosicaoID: posicao preco_num: preco Preco: preco @@ -112,3 +118,7 @@ preprocessing.map_status_id_to_str: 5: Contundido 6: Nulo 7: Provável + +preprocessing.rename_scouts: + RB: DS # Roubada de Bola -> Desarmes + PE: PI # Passe Errado -> Passe Incompleto diff --git a/conf/base/parameters_2014.yml b/conf/base/parameters_2014.yml index 4de7f27a..c4479a73 100644 --- a/conf/base/parameters_2014.yml +++ b/conf/base/parameters_2014.yml @@ -16,7 +16,7 @@ FS: 0.5 # Falta Sofrida PP: -3.5 # Pênalti Perdido I: -0.5 # Impedimento - PE: -0.3 # Passe Errado + PE: -0.3 # Passe Errado # defesa SG: 5.0 # jogo sem Sofrer Gols (somente defensores) CV: -5.0 # Cartão Vermelho @@ -25,7 +25,7 @@ FC: -0.5 # Falta 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89190,37,283,1,5,1,7.9,7.9,2.35,1.35,180194,0,0,1,0.366666666666667,7,1,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0 From 9dcaa5683186bebfc7ed33533da17e2edfdff868 Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sat, 15 Jun 2024 17:49:24 -0300 Subject: [PATCH 11/21] feat: fix accumulated scouts in preprocessing --- pyproject.toml | 4 +-- src/cartola/commons/scouts.py | 33 +++++++++++++++++++ src/cartola/pipeline_registry.py | 12 ++----- src/cartola/pipelines/preprocessing/nodes.py | 17 +++++++++- .../pipelines/preprocessing/pipeline.py | 26 ++++----------- 5 files changed, 59 insertions(+), 33 deletions(-) create mode 100644 src/cartola/commons/scouts.py diff --git a/pyproject.toml b/pyproject.toml index 416a6cba..ea127523 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -81,7 +81,7 @@ exclude = [ [tool.ruff.lint] select = [ - "D", + # "D", # docstring "E", "F", "Q0", @@ -116,7 +116,7 @@ convention = "google" [tool.ruff.lint.per-file-ignores] -"tests/*.py" = ["D", "S101", "F403", "S106"] +"**/tests/*.py" = ["D", "S101", "F403", "S106"] [tool.pytest.ini_options] addopts = """ diff --git a/src/cartola/commons/scouts.py b/src/cartola/commons/scouts.py new file mode 100644 index 00000000..80b77988 --- /dev/null +++ b/src/cartola/commons/scouts.py @@ -0,0 +1,33 @@ +from typing import List + +import pandas as pd + + +def get_disaccumulated_scouts_for_round( + df: pd.DataFrame, + round_: int, + cols_scouts: List[str], +): + df_round = df[df.rodada == round_] + if round_ == 1: + return df_round + + suffixes = ("_curr", "_prev") + cols_current = [col + suffixes[0] for col in cols_scouts] + cols_prev = [col + suffixes[1] for col in cols_scouts] + + df_round_prev = df[df.rodada < round_].groupby("id_atleta")[cols_scouts].max() + df_players = df_round.merge(df_round_prev, how="left", on="id_atleta", suffixes=suffixes) + + # if is the first round of a player, the scouts of previous rounds will be NaNs. Thus, set them to zero + df_players.fillna(value=0, inplace=True) + + # compute the scouts + df_players[cols_current] = df_players[cols_current].values - df_players[cols_prev].values + + # update the columns + df_players.drop(labels=cols_prev, axis=1, inplace=True) + df_players = df_players.rename(columns=dict(zip(cols_current, cols_scouts))) + df_players.SG = df_players.SG.clip(lower=0) + + return df_players diff --git a/src/cartola/pipeline_registry.py b/src/cartola/pipeline_registry.py index e232550e..7d725657 100644 --- a/src/cartola/pipeline_registry.py +++ b/src/cartola/pipeline_registry.py @@ -1,4 +1,5 @@ """Project pipelines.""" + from typing import Dict from kedro.pipeline import Pipeline, pipeline @@ -72,16 +73,7 @@ def register_pipelines() -> Dict[str, Pipeline]: return { "__default__": ( - pipe_2014 - + pipe_2015 - + pipe_2016 - + pipe_2017 - + pipe_2018 - + pipe_2019 - + pipe_2020 - + pipe_2021 - + pipe_2022 - + pipe_aggregate + pipe_2014 + pipe_2015 + pipe_2016 + pipe_2017 + pipe_2018 + pipe_2019 + pipe_2020 + pipe_2021 + pipe_2022 ), "2014": pipe_2014, "2015": pipe_2015, diff --git a/src/cartola/pipelines/preprocessing/nodes.py b/src/cartola/pipelines/preprocessing/nodes.py index 7aad69ec..627a4035 100644 --- a/src/cartola/pipelines/preprocessing/nodes.py +++ b/src/cartola/pipelines/preprocessing/nodes.py @@ -2,16 +2,18 @@ This is a boilerplate pipeline 'preprocessing' generated using Kedro 0.18.2 """ + from typing import Dict import pandas as pd from cartola.commons.features import compute_slug +from cartola.commons.scouts import get_disaccumulated_scouts_for_round def fill_scouts_with_zeros(df: pd.DataFrame, dict_scouts: Dict[str, float]) -> pd.DataFrame: scouts_cols = dict_scouts.keys() - df.loc[:, scouts_cols] = df.loc[:, scouts_cols].fillna(0.0) + df.loc[:, scouts_cols] = df.loc[:, scouts_cols].fillna(0) return df @@ -35,3 +37,16 @@ def map_status_id_to_string(df: pd.DataFrame, dict_status_to_str: Dict[int, str] def add_year_column(df: pd.DataFrame, year: int): df["ano"] = year return df + + +def fix_accumulated_scouts(df: pd.DataFrame, dict_scouts: Dict[str, float]) -> pd.DataFrame: + if ~df.ano.isin([2015, 2017, 2018, 2019, 2020, 2021, 2022]).all(): + return df + + cols_scouts = list(dict_scouts.keys()) + df_result = pd.DataFrame([]) + for round_ in range(1, 39): + df_round = get_disaccumulated_scouts_for_round(df, round_, cols_scouts) + df_result = pd.concat([df_result, df_round], ignore_index=True) + + return df diff --git a/src/cartola/pipelines/preprocessing/pipeline.py b/src/cartola/pipelines/preprocessing/pipeline.py index f04d7b07..f5d37561 100644 --- a/src/cartola/pipelines/preprocessing/pipeline.py +++ b/src/cartola/pipelines/preprocessing/pipeline.py @@ -10,6 +10,7 @@ add_year_column, fill_empty_slugs, fill_scouts_with_zeros, + fix_accumulated_scouts, map_status_id_to_string, ) @@ -17,33 +18,18 @@ def create_pipeline() -> Pipeline: return pipeline( [ - node( - concat_partitioned_datasets, - inputs="raw", - outputs="concat", - ), + node(concat_partitioned_datasets, inputs="raw", outputs="concat"), node(add_year_column, inputs=["concat", "params:year"], outputs="df_year"), node(rename_cols, inputs=["df_year", "params:map_col_names"], outputs="df_renamed"), - node( - drop_duplicated_rows, - inputs="df_renamed", - outputs="df_not_duplicated", - ), + node(drop_duplicated_rows, inputs="df_renamed", outputs="df_not_duplicated"), node( map_status_id_to_string, inputs=["df_not_duplicated", "params:map_status_id_to_str"], outputs="df_status", ), - node( - fill_scouts_with_zeros, - inputs=["df_status", "params:scouts"], - outputs="df_filled_scouts", - ), - node( - fill_empty_slugs, - inputs=["df_filled_scouts"], - outputs="preprocessed", - ), + node(fill_scouts_with_zeros, inputs=["df_status", "params:scouts"], outputs="df_filled_scouts"), + node(fill_empty_slugs, inputs="df_filled_scouts", outputs="df_filled_slugs"), + node(fix_accumulated_scouts, inputs=["df_filled_slugs", "params:scouts"], outputs="preprocessed"), ], namespace="preprocessing", tags=["preprocessing"], From c4e19618e93283c7a57aef31d28bb85616b64794 Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sat, 15 Jun 2024 17:50:41 -0300 Subject: [PATCH 12/21] feat: start schema validation with pandera --- src/cartola/schemas/__init__.py | 0 src/cartola/schemas/aggregated.py | 11 +++++++++++ src/cartola/schemas/scouts.py | 25 +++++++++++++++++++++++++ 3 files changed, 36 insertions(+) create mode 100644 src/cartola/schemas/__init__.py create mode 100644 src/cartola/schemas/aggregated.py create mode 100644 src/cartola/schemas/scouts.py diff --git a/src/cartola/schemas/__init__.py b/src/cartola/schemas/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/cartola/schemas/aggregated.py b/src/cartola/schemas/aggregated.py new file mode 100644 index 00000000..ade4d440 --- /dev/null +++ b/src/cartola/schemas/aggregated.py @@ -0,0 +1,11 @@ +import pandera as pa + +from cartola.schemas.scouts import AttackScouts, DefenseScouts + + +class AggregatedSchema(AttackScouts, DefenseScouts): + rodada: int = pa.Field(ge=0, le=38) + participou: float = pa.Field(isin=[0, 1], nullable=True) # nullable=False, type=int/bool + media: float = pa.Field() + preco: float = pa.Field(gt=0) + variacao: float = pa.Field() diff --git a/src/cartola/schemas/scouts.py b/src/cartola/schemas/scouts.py new file mode 100644 index 00000000..33fbef02 --- /dev/null +++ b/src/cartola/schemas/scouts.py @@ -0,0 +1,25 @@ +import pandera as pa + + +class AttackScouts(pa.DataFrameModel): + G: float = pa.Field(ge=0) + FS: float = pa.Field(ge=0) + PE: float = pa.Field(ge=0, nullable=True) + A: float = pa.Field(ge=0) + FT: float = pa.Field(ge=0) + FD: float = pa.Field(ge=0) + FF: float = pa.Field(ge=0) + I: float = pa.Field(ge=0) # noqa: E741 + PP: float = pa.Field(ge=0) + + +class DefenseScouts(pa.DataFrameModel): + SG: float = pa.Field(ge=0) + CV: float = pa.Field(ge=0) + CA: float = pa.Field(ge=0) + GS: float = pa.Field(ge=0) + FC: float = pa.Field(ge=0) + GC: float = pa.Field(ge=0) + DP: float = pa.Field(ge=0) + RB: float = pa.Field(ge=0, nullable=True) + DD: float = pa.Field(ge=0, nullable=True) From e5301e70f3ab62713b51d71ad31933d49261b37d Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sat, 15 Jun 2024 17:51:09 -0300 Subject: [PATCH 13/21] test: start data tests in aggregated data --- src/tests/data/conftest.py | 7 +++++++ src/tests/data/test_aggregated.py | 5 +++++ 2 files changed, 12 insertions(+) create mode 100644 src/tests/data/conftest.py create mode 100644 src/tests/data/test_aggregated.py diff --git a/src/tests/data/conftest.py b/src/tests/data/conftest.py new file mode 100644 index 00000000..b8cbd099 --- /dev/null +++ b/src/tests/data/conftest.py @@ -0,0 +1,7 @@ +import pandas as pd +import pytest + + +@pytest.fixture +def data_aggregated(): + return pd.read_csv("data/04_feature/aggregated.csv") diff --git a/src/tests/data/test_aggregated.py b/src/tests/data/test_aggregated.py new file mode 100644 index 00000000..e209a681 --- /dev/null +++ b/src/tests/data/test_aggregated.py @@ -0,0 +1,5 @@ +from cartola.schemas.aggregated import AggregatedSchema + + +def test_aggregated_schema(data_aggregated): + AggregatedSchema.validate(data_aggregated, inplace=True, lazy=True) From 098f3843c282224f7d71bdd750def1c35dcf10f2 Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sun, 16 Jun 2024 06:04:52 -0300 Subject: [PATCH 14/21] feat: rename scouts columns --- conf/base/catalog.yml | 2 +- conf/base/parameters.yml | 33 +++++++++++++++++++++++++-------- conf/base/parameters_2014.yml | 16 ++++++++++++---- conf/base/parameters_2015.yml | 10 ++++++---- conf/base/parameters_2016.yml | 10 ++++++---- conf/base/parameters_2017.yml | 11 +++++++---- conf/base/parameters_2018.yml | 8 +++++--- conf/base/parameters_2019.yml | 8 +++++--- conf/base/parameters_2020.yml | 7 +++++-- conf/base/parameters_2021.yml | 2 ++ conf/base/parameters_2022.yml | 6 ++++++ 11 files changed, 80 insertions(+), 33 deletions(-) diff --git a/conf/base/catalog.yml b/conf/base/catalog.yml index c7712166..d485739b 100644 --- a/conf/base/catalog.yml +++ b/conf/base/catalog.yml @@ -9,7 +9,7 @@ aggregated.primary: type: pandas.CSVDataSet filename_suffix: .csv -aggregated.concatenated: +aggregated.aggregated: type: pandas.CSVDataSet filepath: data/04_feature/aggregated.csv save_args: diff --git a/conf/base/parameters.yml b/conf/base/parameters.yml index 438d32d4..182ea619 100644 --- a/conf/base/parameters.yml +++ b/conf/base/parameters.yml @@ -8,10 +8,6 @@ preprocessing.map_col_names: atletas.clube_id: id_clube atletas.clube.id.full.name: nome_clube atletas.foto: foto - atletas.gato_mestre.media_minutos_jogados: gm_media_minutos_jogados - atletas.gato_mestre.media_pontos_mandante: gm_media_pontos_mandante - atletas.gato_mestre.media_pontos_visitante: gm_media_pontos_visitante - atletas.gato_mestre.minutos_jogados: gm_minutos_jogados atletas.jogos_num: num_jogos atletas.media_num: media atletas.minimo_para_valorizar: minimo_para_valorizar @@ -26,13 +22,15 @@ preprocessing.map_col_names: clube_id: id_clube ClubeID: id_clube ClubeNome: nome_clube + DD: DE # Defesa Difícil -> Defesa jogos_num: num_jogos Jogos: num_jogos media_num: media Nome: nome_clube Participou: participou + PE: PI # Passe Errado -> Passe Incompleto pontos_num: pontuacao - Pontos: pontos_num + Pontos: pontuacao PontosMedia: media posicao_id: posicao Posicao: posicao @@ -40,6 +38,7 @@ preprocessing.map_col_names: preco_num: preco Preco: preco PrecoVariacao: variacao + RB: DS # Roubada de Bola -> Desarmes rodada_id: rodada Rodada: rodada status_id: status @@ -119,6 +118,24 @@ preprocessing.map_status_id_to_str: 6: Nulo 7: Provável -preprocessing.rename_scouts: - RB: DS # Roubada de Bola -> Desarmes - PE: PI # Passe Errado -> Passe Incompleto + +aggregated.map_types: + rodada: int + A: int + CA: int + CV: int + DE: int + DP: int + DS: int + FC: int + FD: int + FF: int + FS: int + FT: int + G: int + GC: int + GS: int + I: int + PI: int + PP: int + SG: int diff --git a/conf/base/parameters_2014.yml b/conf/base/parameters_2014.yml index c4479a73..8a27d809 100644 --- a/conf/base/parameters_2014.yml +++ b/conf/base/parameters_2014.yml @@ -6,6 +6,14 @@ 2014.preprocessing.year: 2014 +2014.preprocessing.drop_columns: + - Mando + - Nota + - Partida + - Substituido + - TempoJogado + - Titular + 2014.preprocessing.scouts: # ataque G: 8.0 # Gol marcado @@ -16,7 +24,7 @@ FS: 0.5 # Falta Sofrida PP: -3.5 # Pênalti Perdido I: -0.5 # Impedimento - PE: -0.3 # Passe Errado + PI: -0.3 # Passe Incompleto = Passe Errado (PE) # defesa SG: 5.0 # jogo sem Sofrer Gols (somente defensores) CV: -5.0 # Cartão Vermelho @@ -25,8 +33,8 @@ FC: -0.5 # Falta Cometida GC: -6.0 # Gol Contra DP: 7.0 # Defesa de Pênalti - RB: 1.7 # Roubada de Bola - DD: 3.0 # Defesa Difícil + DS: 1.7 # DeSarme = Roubada de Bola (RB) + DE: 3.0 # DEfesa = Defesa Difícil (DD) * # * exclusivo de goleiro -# ** não válido para goleiros \ No newline at end of file +# ** não válido para goleiros diff --git a/conf/base/parameters_2015.yml b/conf/base/parameters_2015.yml index 83081c6f..d6059b1a 100644 --- a/conf/base/parameters_2015.yml +++ b/conf/base/parameters_2015.yml @@ -6,6 +6,8 @@ 2015.preprocessing.year: 2015 +2015.preprocessing.drop_columns: [] + 2015.preprocessing.scouts: # ataque G: 8.0 # Gol marcado @@ -16,7 +18,7 @@ FS: 0.5 # Falta Sofrida PP: -3.5 # Pênalti Perdido I: -0.5 # Impedimento - PE: -0.3 # Passe Errado + PI: -0.3 # Passe Incompleto = Passe Errado (PE) # defesa SG: 5.0 # jogo sem Sofrer Gols (somente defensores) CV: -5.0 # Cartão Vermelho @@ -25,8 +27,8 @@ FC: -0.5 # Falta Cometida GC: -6.0 # Gol Contra DP: 7.0 # Defesa de Pênalti - RB: 1.7 # Roubada de Bola - DD: 3.0 # Defesa Difícil + DS: 1.7 # DeSarme = Roubada de Bola (RB) + DE: 3.0 # DEfesa = Defesa Difícil (DD) * # * exclusivo de goleiro -# ** não válido para goleiros \ No newline at end of file +# ** não válido para goleiros diff --git a/conf/base/parameters_2016.yml b/conf/base/parameters_2016.yml index 15b782df..8136765e 100644 --- a/conf/base/parameters_2016.yml +++ b/conf/base/parameters_2016.yml @@ -6,6 +6,8 @@ 2016.preprocessing.year: 2016 +2016.preprocessing.drop_columns: [] + 2016.preprocessing.scouts: # ataque G: 8.0 # Gol marcado @@ -16,7 +18,7 @@ FS: 0.5 # Falta Sofrida PP: -3.5 # Pênalti Perdido I: -0.5 # Impedimento - PE: -0.3 # Passe Errado + PI: -0.3 # Passe Incompleto = Passe Errado (PE) # defesa SG: 5.0 # jogo sem Sofrer Gols (somente defensores) CV: -5.0 # Cartão Vermelho @@ -25,8 +27,8 @@ FC: -0.5 # Falta Cometida GC: -6.0 # Gol Contra DP: 7.0 # Defesa de Pênalti - RB: 1.7 # Roubada de Bola - DD: 3.0 # Defesa Difícil + DS: 1.7 # DeSarme = Roubada de Bola (RB) + DE: 3.0 # DEfesa = Defesa Difícil (DD) * # * exclusivo de goleiro -# ** não válido para goleiros \ No newline at end of file +# ** não válido para goleiros diff --git a/conf/base/parameters_2017.yml b/conf/base/parameters_2017.yml index 8c77d9ae..81e9e5df 100644 --- a/conf/base/parameters_2017.yml +++ b/conf/base/parameters_2017.yml @@ -6,6 +6,9 @@ 2017.preprocessing.year: 2017 +2017.preprocessing.drop_columns: + - athletes.atletas.scout + 2017.preprocessing.scouts: # ataque G: 8.0 # Gol marcado @@ -16,7 +19,7 @@ FS: 0.5 # Falta Sofrida PP: -3.5 # Pênalti Perdido I: -0.5 # Impedimento - PE: -0.3 # Passe Errado + PI: -0.3 # Passe Incompleto = Passe Errado (PE) # defesa SG: 5.0 # jogo sem Sofrer Gols (somente defensores) CV: -5.0 # Cartão Vermelho @@ -25,8 +28,8 @@ FC: -0.5 # Falta Cometida GC: -6.0 # Gol Contra DP: 7.0 # Defesa de Pênalti - RB: 1.7 # Roubada de Bola - DD: 3.0 # Defesa Difícil + DS: 1.7 # DeSarme = Roubada de Bola (RB) + DE: 3.0 # DEfesa = Defesa Difícil (DD) * # * exclusivo de goleiro -# ** não válido para goleiros \ No newline at end of file +# ** não válido para goleiros diff --git a/conf/base/parameters_2018.yml b/conf/base/parameters_2018.yml index 4de69a9e..33e8b8f9 100644 --- a/conf/base/parameters_2018.yml +++ b/conf/base/parameters_2018.yml @@ -6,6 +6,8 @@ 2018.preprocessing.year: 2018 +2018.preprocessing.drop_columns: [] + 2018.preprocessing.scouts: # ataque G: 8.0 # Gol marcado @@ -16,7 +18,7 @@ FS: 0.5 # Falta Sofrida PP: -3.5 # Pênalti Perdido I: -0.5 # Impedimento - PE: -0.3 # Passe Errado + PI: -0.3 # Passe Incompleto = Passe Errado (PE) # defesa SG: 5.0 # jogo sem Sofrer Gols (somente defensores) CV: -5.0 # Cartão Vermelho @@ -25,8 +27,8 @@ FC: -0.5 # Falta Cometida GC: -6.0 # Gol Contra DP: 7.0 # Defesa de Pênalti - RB: 1.7 # Roubada de Bola - DD: 3.0 # Defesa Difícil + DS: 1.7 # DeSarme = Roubada de Bola (RB) + DE: 3.0 # DEfesa = Defesa Difícil (DD) * # * exclusivo de goleiro # ** não válido para goleiros diff --git a/conf/base/parameters_2019.yml b/conf/base/parameters_2019.yml index d3abbde0..2322bfca 100644 --- a/conf/base/parameters_2019.yml +++ b/conf/base/parameters_2019.yml @@ -6,6 +6,8 @@ 2019.preprocessing.year: 2019 +2019.preprocessing.drop_columns: [] + 2019.preprocessing.scouts: # ataque G: 8.0 # Gol marcado @@ -16,7 +18,7 @@ FS: 0.5 # Falta Sofrida PP: -4.0 # Pênalti Perdido I: -0.5 # Impedimento - PE: -0.3 # Passe Errado + PI: -0.3 # Passe Incompleto = Passe Errado (PE) # defesa SG: 5.0 # jogo sem Sofrer Gols (somente defensores) CV: -5.0 # Cartão Vermelho @@ -25,8 +27,8 @@ FC: -0.5 # Falta Cometida GC: -5.0 # Gol Contra DP: 7.0 # Defesa de Pênalti - RB: 1.5 # Roubada de Bola - DD: 3.0 # Defesa Difícil + DS: 1.5 # DeSarme = Roubada de Bola (RB) + DE: 3.0 # DEfesa = Defesa Difícil (DD) * # * exclusivo de goleiro # ** não válido para goleiros diff --git a/conf/base/parameters_2020.yml b/conf/base/parameters_2020.yml index 41a69749..9daea375 100644 --- a/conf/base/parameters_2020.yml +++ b/conf/base/parameters_2020.yml @@ -6,6 +6,9 @@ 2020.preprocessing.year: 2020 +2020.preprocessing.drop_columns: + - athletes$atletas$scout + 2020.preprocessing.scouts: # ataque G: 8.0 # Gol marcado @@ -26,8 +29,8 @@ GC: -5.0 # Gol Contra DP: 7.0 # Defesa de Pênalti DS: 1.0 # DeSarme (antigo Roubada de Bola - RB) - DD: 4.0 # Defesa Difícil + DE: 4.0 # DEfesa = Defesa Difícil (DD) * # * exclusivo de goleiro # ** não válido para goleiros -# Fonte: https://ge.globo.com/cartola-fc/noticia/cartola-fc-2020-veja-as-pontuacoes-de-todos-os-scouts.ghtml \ No newline at end of file +# Fonte: https://ge.globo.com/cartola-fc/noticia/cartola-fc-2020-veja-as-pontuacoes-de-todos-os-scouts.ghtml diff --git a/conf/base/parameters_2021.yml b/conf/base/parameters_2021.yml index 38129612..7260df8e 100644 --- a/conf/base/parameters_2021.yml +++ b/conf/base/parameters_2021.yml @@ -6,6 +6,8 @@ 2021.preprocessing.year: 2021 +2021.preprocessing.drop_columns: [] + 2021.preprocessing.scouts: # ataque G: 8.0 # Gol marcado diff --git a/conf/base/parameters_2022.yml b/conf/base/parameters_2022.yml index 90a06d69..9aae299e 100644 --- a/conf/base/parameters_2022.yml +++ b/conf/base/parameters_2022.yml @@ -6,6 +6,12 @@ 2022.preprocessing.year: 2022 +2022.preprocessing.drop_columns: + - atletas.gato_mestre.media_minutos_jogados + - atletas.gato_mestre.media_pontos_mandante + - atletas.gato_mestre.media_pontos_visitante + - atletas.gato_mestre.minutos_jogados + 2022.preprocessing.scouts: # ataque G: 8.0 # Gol marcado From fb1def846bceea55bc6298215a68a566fe22069d Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sun, 16 Jun 2024 06:05:38 -0300 Subject: [PATCH 15/21] feat: drop columns and convert types chore: improve schemas --- .python-version | 1 + 1 file changed, 1 insertion(+) create mode 100644 .python-version diff --git a/.python-version b/.python-version new file mode 100644 index 00000000..09dcc780 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.10.11 From 7efd2f4f3d642e1e2c4d04e71e4a0346e8c2585c Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sun, 16 Jun 2024 06:05:58 -0300 Subject: [PATCH 16/21] feat: drop columns and improve schemas --- src/cartola/commons/dataframes.py | 6 ++- .../pipelines/aggregate_all_years/nodes.py | 9 ++++ .../pipelines/aggregate_all_years/pipeline.py | 2 + .../merge_splitted_datasets/nodes.py | 5 +++ src/cartola/pipelines/preprocessing/nodes.py | 2 +- .../pipelines/preprocessing/pipeline.py | 5 ++- src/cartola/schemas/aggregated.py | 6 ++- src/cartola/schemas/scouts.py | 41 +++++++++---------- src/tests/conftest.py | 0 9 files changed, 48 insertions(+), 28 deletions(-) create mode 100644 src/tests/conftest.py diff --git a/src/cartola/commons/dataframes.py b/src/cartola/commons/dataframes.py index 3cfe012e..15faa20b 100644 --- a/src/cartola/commons/dataframes.py +++ b/src/cartola/commons/dataframes.py @@ -1,4 +1,4 @@ -from typing import Dict +from typing import Dict, List import pandas as pd @@ -7,6 +7,10 @@ def drop_duplicated_rows(df: pd.DataFrame) -> pd.DataFrame: return df.drop_duplicates(ignore_index=True) +def drop_columns(df: pd.DataFrame, list_cols: List[str]) -> pd.DataFrame: + return df.drop(columns=list_cols) + + def concat_partitioned_datasets(partitioned_dataset: Dict[str, pd.DataFrame]) -> pd.DataFrame: df_concat = pd.DataFrame() for _, partition_load_func in partitioned_dataset.items(): diff --git a/src/cartola/pipelines/aggregate_all_years/nodes.py b/src/cartola/pipelines/aggregate_all_years/nodes.py index f74f3b7b..d5a6046f 100644 --- a/src/cartola/pipelines/aggregate_all_years/nodes.py +++ b/src/cartola/pipelines/aggregate_all_years/nodes.py @@ -2,3 +2,12 @@ This is a boilerplate pipeline 'aggregate_all_years' generated using Kedro 0.18.2 """ + +from typing import Dict + + +import pandas as pd + + +def convert_types(df: pd.DataFrame, map_types: Dict[str, type]) -> pd.DataFrame: + return df.astype(map_types) diff --git a/src/cartola/pipelines/aggregate_all_years/pipeline.py b/src/cartola/pipelines/aggregate_all_years/pipeline.py index 228fc4dc..8ee21b03 100644 --- a/src/cartola/pipelines/aggregate_all_years/pipeline.py +++ b/src/cartola/pipelines/aggregate_all_years/pipeline.py @@ -6,12 +6,14 @@ from kedro.pipeline import Pipeline, node, pipeline from cartola.commons.dataframes import concat_partitioned_datasets +from cartola.pipelines.aggregate_all_years.nodes import convert_types def create_pipeline(**kwargs) -> Pipeline: return pipeline( [ node(concat_partitioned_datasets, inputs="primary", outputs="concatenated"), + node(convert_types, inputs=["concatenated", "params:map_types"], outputs="aggregated"), ], tags=["aggregated"], namespace="aggregated", diff --git a/src/cartola/pipelines/merge_splitted_datasets/nodes.py b/src/cartola/pipelines/merge_splitted_datasets/nodes.py index 9e0ec660..1570ab91 100644 --- a/src/cartola/pipelines/merge_splitted_datasets/nodes.py +++ b/src/cartola/pipelines/merge_splitted_datasets/nodes.py @@ -2,12 +2,17 @@ This is a boilerplate pipeline 'merge_splitted_datasets' generated using Kedro 0.18.2 """ + import pandas as pd def merge_datasets(df_scouts: pd.DataFrame, df_players: pd.DataFrame, df_teams: pd.DataFrame) -> pd.DataFrame: df_players = df_players.drop(columns="ClubeID") df_teams = df_teams.drop(columns="Abreviacao") + + if "Posicao" in df_scouts.columns: + df_scouts = df_scouts.drop(columns="Posicao") + return { "concat": ( df_scouts.merge(df_players, how="left", left_on="AtletaID", right_on="ID") diff --git a/src/cartola/pipelines/preprocessing/nodes.py b/src/cartola/pipelines/preprocessing/nodes.py index 627a4035..e4ab69e5 100644 --- a/src/cartola/pipelines/preprocessing/nodes.py +++ b/src/cartola/pipelines/preprocessing/nodes.py @@ -34,7 +34,7 @@ def map_status_id_to_string(df: pd.DataFrame, dict_status_to_str: Dict[int, str] return df -def add_year_column(df: pd.DataFrame, year: int): +def add_year_column(df: pd.DataFrame, year: int) -> pd.DataFrame: df["ano"] = year return df diff --git a/src/cartola/pipelines/preprocessing/pipeline.py b/src/cartola/pipelines/preprocessing/pipeline.py index f5d37561..7dc1deca 100644 --- a/src/cartola/pipelines/preprocessing/pipeline.py +++ b/src/cartola/pipelines/preprocessing/pipeline.py @@ -5,7 +5,7 @@ from kedro.pipeline import Pipeline, node, pipeline -from cartola.commons.dataframes import concat_partitioned_datasets, drop_duplicated_rows, rename_cols +from cartola.commons.dataframes import concat_partitioned_datasets, drop_columns, drop_duplicated_rows, rename_cols from cartola.pipelines.preprocessing.nodes import ( add_year_column, fill_empty_slugs, @@ -21,7 +21,8 @@ def create_pipeline() -> Pipeline: node(concat_partitioned_datasets, inputs="raw", outputs="concat"), node(add_year_column, inputs=["concat", "params:year"], outputs="df_year"), node(rename_cols, inputs=["df_year", "params:map_col_names"], outputs="df_renamed"), - node(drop_duplicated_rows, inputs="df_renamed", outputs="df_not_duplicated"), + node(drop_columns, inputs=["df_renamed", "params:drop_columns"], outputs="df_dropped"), + node(drop_duplicated_rows, inputs="df_dropped", outputs="df_not_duplicated"), node( map_status_id_to_string, inputs=["df_not_duplicated", "params:map_status_id_to_str"], diff --git a/src/cartola/schemas/aggregated.py b/src/cartola/schemas/aggregated.py index ade4d440..9b684c00 100644 --- a/src/cartola/schemas/aggregated.py +++ b/src/cartola/schemas/aggregated.py @@ -1,11 +1,13 @@ import pandera as pa -from cartola.schemas.scouts import AttackScouts, DefenseScouts +from cartola.schemas.scouts import Scouts -class AggregatedSchema(AttackScouts, DefenseScouts): +class AggregatedSchema(Scouts): rodada: int = pa.Field(ge=0, le=38) participou: float = pa.Field(isin=[0, 1], nullable=True) # nullable=False, type=int/bool media: float = pa.Field() preco: float = pa.Field(gt=0) variacao: float = pa.Field() + num_jogos: float = pa.Field(ge=0, nullable=True) + pontuacao: float = pa.Field() diff --git a/src/cartola/schemas/scouts.py b/src/cartola/schemas/scouts.py index 33fbef02..1a82a861 100644 --- a/src/cartola/schemas/scouts.py +++ b/src/cartola/schemas/scouts.py @@ -1,25 +1,22 @@ import pandera as pa -class AttackScouts(pa.DataFrameModel): - G: float = pa.Field(ge=0) - FS: float = pa.Field(ge=0) - PE: float = pa.Field(ge=0, nullable=True) - A: float = pa.Field(ge=0) - FT: float = pa.Field(ge=0) - FD: float = pa.Field(ge=0) - FF: float = pa.Field(ge=0) - I: float = pa.Field(ge=0) # noqa: E741 - PP: float = pa.Field(ge=0) - - -class DefenseScouts(pa.DataFrameModel): - SG: float = pa.Field(ge=0) - CV: float = pa.Field(ge=0) - CA: float = pa.Field(ge=0) - GS: float = pa.Field(ge=0) - FC: float = pa.Field(ge=0) - GC: float = pa.Field(ge=0) - DP: float = pa.Field(ge=0) - RB: float = pa.Field(ge=0, nullable=True) - DD: float = pa.Field(ge=0, nullable=True) +class Scouts(pa.DataFrameModel): + A: int = pa.Field(ge=0) + CA: int = pa.Field(ge=0) + CV: int = pa.Field(ge=0) + DE: int = pa.Field(ge=0) + DP: int = pa.Field(ge=0) + DS: int = pa.Field(ge=0) + FC: int = pa.Field(ge=0) + FD: int = pa.Field(ge=0) + FF: int = pa.Field(ge=0) + FS: int = pa.Field(ge=0) + FT: int = pa.Field(ge=0) + G: int = pa.Field(ge=0) + GC: int = pa.Field(ge=0) + GS: int = pa.Field(ge=0) + I: int = pa.Field(ge=0) # noqa: E741 + PI: int = pa.Field(ge=0) + PP: int = pa.Field(ge=0) + SG: int = pa.Field(ge=0) diff --git a/src/tests/conftest.py b/src/tests/conftest.py new file mode 100644 index 00000000..e69de29b From 271ae38783cd3ed3417f499fa589578c9ce59a9b Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sun, 16 Jun 2024 06:44:36 -0300 Subject: [PATCH 17/21] feat: normalize player position --- conf/base/parameters.yml | 9 +++++ src/cartola/pipeline_registry.py | 12 +++++- src/cartola/pipelines/preprocessing/nodes.py | 6 +++ .../pipelines/preprocessing/pipeline.py | 15 ++++++-- src/cartola/schemas/aggregated.py | 11 +++--- src/cartola/schemas/scouts.py | 38 ++++++++++--------- 6 files changed, 62 insertions(+), 29 deletions(-) diff --git a/conf/base/parameters.yml b/conf/base/parameters.yml index 182ea619..965493d0 100644 --- a/conf/base/parameters.yml +++ b/conf/base/parameters.yml @@ -119,6 +119,15 @@ preprocessing.map_status_id_to_str: 7: Provável +preprocessing.map_posicao_to_str: + "1": gol + "2": lat + "3": zag + "4": mei + "5": ata + "6": tec + + aggregated.map_types: rodada: int A: int diff --git a/src/cartola/pipeline_registry.py b/src/cartola/pipeline_registry.py index 7d725657..9736377f 100644 --- a/src/cartola/pipeline_registry.py +++ b/src/cartola/pipeline_registry.py @@ -4,7 +4,11 @@ from kedro.pipeline import Pipeline, pipeline -from cartola.pipelines import aggregate_all_years, merge_splitted_datasets, preprocessing +from cartola.pipelines import ( + aggregate_all_years, + merge_splitted_datasets, + preprocessing, +) def register_pipelines() -> Dict[str, Pipeline]: @@ -13,7 +17,11 @@ def register_pipelines() -> Dict[str, Pipeline]: Returns: A mapping from a pipeline name to a ``Pipeline`` object. """ - params_preprocessing = {"params:preprocessing.map_col_names", "params:preprocessing.map_status_id_to_str"} + params_preprocessing = { + "params:preprocessing.map_col_names", + "params:preprocessing.map_status_id_to_str", + "params:preprocessing.map_posicao_to_str", + } pipe_2014 = pipeline( pipe=merge_splitted_datasets.create_pipeline() + preprocessing.create_pipeline(), diff --git a/src/cartola/pipelines/preprocessing/nodes.py b/src/cartola/pipelines/preprocessing/nodes.py index e4ab69e5..2128836b 100644 --- a/src/cartola/pipelines/preprocessing/nodes.py +++ b/src/cartola/pipelines/preprocessing/nodes.py @@ -34,6 +34,12 @@ def map_status_id_to_string(df: pd.DataFrame, dict_status_to_str: Dict[int, str] return df +def map_posicao_to_string(df: pd.DataFrame, dict_posicao_to_str: Dict[str, str]) -> pd.DataFrame: + df.posicao = df.posicao.astype(str) + df.posicao.replace(dict_posicao_to_str, inplace=True) + return df + + def add_year_column(df: pd.DataFrame, year: int) -> pd.DataFrame: df["ano"] = year return df diff --git a/src/cartola/pipelines/preprocessing/pipeline.py b/src/cartola/pipelines/preprocessing/pipeline.py index 7dc1deca..5902462f 100644 --- a/src/cartola/pipelines/preprocessing/pipeline.py +++ b/src/cartola/pipelines/preprocessing/pipeline.py @@ -5,12 +5,18 @@ from kedro.pipeline import Pipeline, node, pipeline -from cartola.commons.dataframes import concat_partitioned_datasets, drop_columns, drop_duplicated_rows, rename_cols +from cartola.commons.dataframes import ( + concat_partitioned_datasets, + drop_columns, + drop_duplicated_rows, + rename_cols, +) from cartola.pipelines.preprocessing.nodes import ( add_year_column, fill_empty_slugs, fill_scouts_with_zeros, fix_accumulated_scouts, + map_posicao_to_string, map_status_id_to_string, ) @@ -24,10 +30,11 @@ def create_pipeline() -> Pipeline: node(drop_columns, inputs=["df_renamed", "params:drop_columns"], outputs="df_dropped"), node(drop_duplicated_rows, inputs="df_dropped", outputs="df_not_duplicated"), node( - map_status_id_to_string, - inputs=["df_not_duplicated", "params:map_status_id_to_str"], - outputs="df_status", + map_posicao_to_string, + inputs=["df_not_duplicated", "params:map_posicao_to_str"], + outputs="df_posicao", ), + node(map_status_id_to_string, inputs=["df_posicao", "params:map_status_id_to_str"], outputs="df_status"), node(fill_scouts_with_zeros, inputs=["df_status", "params:scouts"], outputs="df_filled_scouts"), node(fill_empty_slugs, inputs="df_filled_scouts", outputs="df_filled_slugs"), node(fix_accumulated_scouts, inputs=["df_filled_slugs", "params:scouts"], outputs="preprocessed"), diff --git a/src/cartola/schemas/aggregated.py b/src/cartola/schemas/aggregated.py index 9b684c00..2f887052 100644 --- a/src/cartola/schemas/aggregated.py +++ b/src/cartola/schemas/aggregated.py @@ -4,10 +4,11 @@ class AggregatedSchema(Scouts): - rodada: int = pa.Field(ge=0, le=38) + rodada: int = pa.Field(ge=0, le=38, nullable=False) participou: float = pa.Field(isin=[0, 1], nullable=True) # nullable=False, type=int/bool - media: float = pa.Field() - preco: float = pa.Field(gt=0) - variacao: float = pa.Field() + media: float = pa.Field(nullable=False) + preco: float = pa.Field(gt=0, nullable=False) + variacao: float = pa.Field(nullable=False) num_jogos: float = pa.Field(ge=0, nullable=True) - pontuacao: float = pa.Field() + pontuacao: float = pa.Field(nullable=False) + posicao: str = pa.Field(nullable=False, isin=["gol", "lat", "zag", "mei", "ata", "tec"]) diff --git a/src/cartola/schemas/scouts.py b/src/cartola/schemas/scouts.py index 1a82a861..6d728a59 100644 --- a/src/cartola/schemas/scouts.py +++ b/src/cartola/schemas/scouts.py @@ -2,21 +2,23 @@ class Scouts(pa.DataFrameModel): - A: int = pa.Field(ge=0) - CA: int = pa.Field(ge=0) - CV: int = pa.Field(ge=0) - DE: int = pa.Field(ge=0) - DP: int = pa.Field(ge=0) - DS: int = pa.Field(ge=0) - FC: int = pa.Field(ge=0) - FD: int = pa.Field(ge=0) - FF: int = pa.Field(ge=0) - FS: int = pa.Field(ge=0) - FT: int = pa.Field(ge=0) - G: int = pa.Field(ge=0) - GC: int = pa.Field(ge=0) - GS: int = pa.Field(ge=0) - I: int = pa.Field(ge=0) # noqa: E741 - PI: int = pa.Field(ge=0) - PP: int = pa.Field(ge=0) - SG: int = pa.Field(ge=0) + A: int = pa.Field(ge=0, nullable=False) + CA: int = pa.Field(ge=0, nullable=False) + CV: int = pa.Field(ge=0, nullable=False) + DE: int = pa.Field(ge=0, nullable=False) + DP: int = pa.Field(ge=0, nullable=False) + DS: int = pa.Field(ge=0, nullable=False) + FC: int = pa.Field(ge=0, nullable=False) + FD: int = pa.Field(ge=0, nullable=False) + FF: int = pa.Field(ge=0, nullable=False) + FS: int = pa.Field(ge=0, nullable=False) + FT: int = pa.Field(ge=0, nullable=False) + G: int = pa.Field(ge=0, nullable=False) + GC: int = pa.Field(ge=0, nullable=False) + GS: int = pa.Field(ge=0, nullable=False) + I: int = pa.Field(ge=0, nullable=False) # noqa: E741 + PC: float = pa.Field(ge=0, nullable=True) # introduced in 2021 + PI: int = pa.Field(ge=0, nullable=False) + PP: int = pa.Field(ge=0, nullable=False) + PS: float = pa.Field(ge=0, nullable=True) # introduced in 2021 + SG: int = pa.Field(ge=0, nullable=False) From 94eebbbe867c4298383def18958e42909e780768 Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sun, 16 Jun 2024 07:01:22 -0300 Subject: [PATCH 18/21] test: convert_types node of aggregate pipeline --- src/tests/nodes/test_aggregate_all_years_nodes.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) create mode 100644 src/tests/nodes/test_aggregate_all_years_nodes.py diff --git a/src/tests/nodes/test_aggregate_all_years_nodes.py b/src/tests/nodes/test_aggregate_all_years_nodes.py new file mode 100644 index 00000000..3ad41db8 --- /dev/null +++ b/src/tests/nodes/test_aggregate_all_years_nodes.py @@ -0,0 +1,12 @@ +import pandas as pd +import pandas.api.types as ptypes +from cartola.pipelines.aggregate_all_years.nodes import convert_types + + +def test_convert_types(): + df = pd.DataFrame(dict(col_str=["1", "2"], col_int=[1, 2])) + + dict_map_types = dict(col_str=int, col_int=str) + df_res = convert_types(df, dict_map_types) + assert ptypes.is_integer_dtype(df_res.col_str) + assert ptypes.is_string_dtype(df_res.col_int) From 30b4a38a8d21c0ac2882d216a72344cd54b34a25 Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sun, 16 Jun 2024 07:02:18 -0300 Subject: [PATCH 19/21] test: improve test case --- src/tests/nodes/test_aggregate_all_years_nodes.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/src/tests/nodes/test_aggregate_all_years_nodes.py b/src/tests/nodes/test_aggregate_all_years_nodes.py index 3ad41db8..80a86574 100644 --- a/src/tests/nodes/test_aggregate_all_years_nodes.py +++ b/src/tests/nodes/test_aggregate_all_years_nodes.py @@ -1,12 +1,14 @@ import pandas as pd import pandas.api.types as ptypes + from cartola.pipelines.aggregate_all_years.nodes import convert_types def test_convert_types(): - df = pd.DataFrame(dict(col_str=["1", "2"], col_int=[1, 2])) + df = pd.DataFrame(dict(col_str=["1", "2"], col_int=[1, 2], col_float=[1.1, 2.2])) - dict_map_types = dict(col_str=int, col_int=str) + dict_map_types = dict(col_str=int, col_int=str, col_float=int) df_res = convert_types(df, dict_map_types) assert ptypes.is_integer_dtype(df_res.col_str) + assert ptypes.is_integer_dtype(df_res.col_float) assert ptypes.is_string_dtype(df_res.col_int) From d202e606471c2b7f97f00395908c0e44a75512e1 Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sun, 16 Jun 2024 10:50:12 -0300 Subject: [PATCH 20/21] chore: improve coverage and schemas --- conf/base/parameters.yml | 1 + pyproject.toml | 13 +++++++++++++ src/cartola/schemas/aggregated.py | 11 +++++++---- 3 files changed, 21 insertions(+), 4 deletions(-) diff --git a/conf/base/parameters.yml b/conf/base/parameters.yml index 965493d0..432a4180 100644 --- a/conf/base/parameters.yml +++ b/conf/base/parameters.yml @@ -129,6 +129,7 @@ preprocessing.map_posicao_to_str: aggregated.map_types: + ano: int rodada: int A: int CA: int diff --git a/pyproject.toml b/pyproject.toml index ea127523..9032a34d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -123,6 +123,19 @@ addopts = """ --cov-report term-missing \ --cov src/cartola -ra""" +[tool.coverage.paths] +source = ["src/cartola/"] + +[tool.coverage.run] +source = ["src/cartola"] +omit = [ + "__init__.py", + "tests/*", + "*/.ipynb_checkpoints/*", + "*/src/cartola/__main__.py", + "*/src/cartola/download_data.py", +] + [tool.coverage.report] fail_under = 0 show_missing = true diff --git a/src/cartola/schemas/aggregated.py b/src/cartola/schemas/aggregated.py index 2f887052..8b50dcbc 100644 --- a/src/cartola/schemas/aggregated.py +++ b/src/cartola/schemas/aggregated.py @@ -4,11 +4,14 @@ class AggregatedSchema(Scouts): - rodada: int = pa.Field(ge=0, le=38, nullable=False) - participou: float = pa.Field(isin=[0, 1], nullable=True) # nullable=False, type=int/bool + apelido: str = pa.Field(nullable=False) + ano: int = pa.Field(nullable=False) media: float = pa.Field(nullable=False) - preco: float = pa.Field(gt=0, nullable=False) - variacao: float = pa.Field(nullable=False) num_jogos: float = pa.Field(ge=0, nullable=True) + participou: float = pa.Field(isin=[0, 1], nullable=True) # type=int/bool pontuacao: float = pa.Field(nullable=False) posicao: str = pa.Field(nullable=False, isin=["gol", "lat", "zag", "mei", "ata", "tec"]) + preco: float = pa.Field(gt=0, nullable=False) + rodada: int = pa.Field(ge=0, le=38, nullable=False) + slug: str = pa.Field(nullable=False) + variacao: float = pa.Field(nullable=False) From 25bf634d79609ab8335998b1e506b96ab6b33c7f Mon Sep 17 00:00:00 2001 From: Arnaldo Gualberto Date: Sun, 16 Jun 2024 16:56:33 -0300 Subject: [PATCH 21/21] tests: preprocessing nodes --- src/cartola/pipelines/preprocessing/nodes.py | 2 +- src/tests/nodes/test_preprocessing_nodes.py | 82 ++++++++++++++++++++ 2 files changed, 83 insertions(+), 1 deletion(-) create mode 100644 src/tests/nodes/test_preprocessing_nodes.py diff --git a/src/cartola/pipelines/preprocessing/nodes.py b/src/cartola/pipelines/preprocessing/nodes.py index 2128836b..8d738f8a 100644 --- a/src/cartola/pipelines/preprocessing/nodes.py +++ b/src/cartola/pipelines/preprocessing/nodes.py @@ -55,4 +55,4 @@ def fix_accumulated_scouts(df: pd.DataFrame, dict_scouts: Dict[str, float]) -> p df_round = get_disaccumulated_scouts_for_round(df, round_, cols_scouts) df_result = pd.concat([df_result, df_round], ignore_index=True) - return df + return df_result diff --git a/src/tests/nodes/test_preprocessing_nodes.py b/src/tests/nodes/test_preprocessing_nodes.py new file mode 100644 index 00000000..38feccc4 --- /dev/null +++ b/src/tests/nodes/test_preprocessing_nodes.py @@ -0,0 +1,82 @@ +import numpy as np +import pandas as pd + +from cartola.pipelines.preprocessing.nodes import ( + add_year_column, + fill_empty_slugs, + fill_scouts_with_zeros, + fix_accumulated_scouts, + map_posicao_to_string, + map_status_id_to_string, +) + + +def test_fill_scouts_with_zeros(): + df = pd.DataFrame(dict(a=[np.nan, 2, np.nan])) + df = fill_scouts_with_zeros(df, dict(a=1.0)) + assert ~df.a.isna().any() + + +def test_fill_empty_slugs(): + data = dict(apelido=["Cristiano Ronaldo", "Messi"], slug=["CR7", np.nan]) + df = pd.DataFrame(data) + df = fill_empty_slugs(df) + assert "slug" in df.columns + assert ~df.slug.isna().any() + assert df.slug.values[-1] == "messi" + + +def test_fill_empty_slug_with_no_slug_col(): + df = pd.DataFrame(dict(apelido=["Cristiano Ronaldo", "Messi"])) + df = fill_empty_slugs(df) + assert "slug" in df.columns + assert ~df.slug.isna().any() + + +def test_map_status_id_to_string(): + dict_map = {2: "Dúvida", 3: "Suspenso"} + df = pd.DataFrame(dict(status=[2, 3])) + df = map_status_id_to_string(df, dict_map) + assert df.status.isin(list(dict_map.values())).all() + + +def test_map_status_id_to_string_with_no_status_col(): + df = pd.DataFrame() + df_res = map_status_id_to_string(df, {}) + assert df.equals(df_res) + + +def test_map_posicao_to_string(): + dict_map = {"1": "gol", "2": "lat"} + df = pd.DataFrame(dict(posicao=[1, 2])) + df = map_posicao_to_string(df, dict_map) + assert df.posicao.isin(list(dict_map.values())).all() + + +def test_add_year_columns(): + df = pd.DataFrame() + df = add_year_column(df, year=2000) + assert "ano" in df.columns + assert np.all(df.ano.values == 2000) + + +def test_fix_accumulated_scouts(): + dict_data = dict( + ano=[2015, 2015, 2015], + id_atleta=[1, 1, 1], + rodada=[1, 2, 3], + SG=[0, 0, 0], + CA=[0, 1, 1], + DE=[0, 1, 3], + ) + df = pd.DataFrame(dict_data) + df = fix_accumulated_scouts(df, dict(SG=1, CA=1, DE=1)) + assert np.all(df.SG.values == [0, 0, 0]) + assert np.all(df.CA.values == [0, 1, 0]) + assert np.all(df.DE.values == [0, 1, 2]) + + +def test_fix_accumulated_scouts_in_year_without_accumulation(): + df = pd.DataFrame(dict(ano=[2000])) + df_res = fix_accumulated_scouts(df, {}) + assert df.equals(df_res)