.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/plot_sintese_execucao.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_examples_plot_sintese_execucao.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_examples_plot_sintese_execucao.py:


========================================
Síntese da Execução
========================================

.. GENERATED FROM PYTHON SOURCE LINES 8-16

Para realizar a síntese da execução de um caso do DESSEM é necessário estar em um diretório
no qual estão os principais arquivos de saída do modelo. Por exemplo, para se realizar a
síntese de tempo de execução, é necessario o `LOG_MATRIZ`, para a síntese de custos,
o `DES_LOG_RELATO`. Neste contexto,
basta fazer::

   $ sintetizador-decomp execucao


.. GENERATED FROM PYTHON SOURCE LINES 18-35

O sintetizador irá exibir o log da sua execução::

   >>> 2025-04-08 15:01:01,797 INFO: # Realizando síntese da EXECUÇÃO #
   >>> 2025-04-08 15:01:01,798 INFO: Realizando síntese de PROGRAMA
   >>> 2025-04-08 15:01:01,851 INFO: Tempo para sintese de PROGRAMA: 0.05 s
   >>> 2025-04-08 15:01:01,851 INFO: Realizando síntese de VERSAO
   >>> 2025-04-08 15:01:01,902 INFO: Lendo arquivo DES_LOG_RELATO.DAT
   >>> 2025-04-08 15:01:03,206 INFO: Tempo para sintese de VERSAO: 1.35 s
   >>> 2025-04-08 15:01:03,206 INFO: Realizando síntese de TITULO
   >>> 2025-04-08 15:01:03,209 INFO: Tempo para sintese de TITULO: 0.00 s
   >>> 2025-04-08 15:01:03,210 INFO: Realizando síntese de TEMPO
   >>> 2025-04-08 15:01:03,244 INFO: Lendo arquivo LOG_MATRIZ.DAT
   >>> 2025-04-08 15:01:03,251 INFO: Tempo para sintese de TEMPO: 0.04 s
   >>> 2025-04-08 15:01:03,251 INFO: Realizando síntese de CUSTOS
   >>> 2025-04-08 15:01:03,261 INFO: Tempo para sintese de CUSTOS: 0.01 s
   >>> 2025-04-08 15:01:03,305 INFO: Tempo para sintese da execucao: 1.51 s
   >>> 2025-04-08 15:01:03,305 INFO: # Fim da síntese #

.. GENERATED FROM PYTHON SOURCE LINES 37-39

Os arquivos serão salvos no subdiretório `sintese`. Para realizar o processamento,
pode ser utilizado o próprio `python`:

.. GENERATED FROM PYTHON SOURCE LINES 39-43

.. code-block:: Python

    import plotly.express as px
    from datetime import timedelta
    import pandas as pd








.. GENERATED FROM PYTHON SOURCE LINES 44-46

Para a síntese da execução é produzido um arquivo com as informações das sínteses
que foram realizadas:

.. GENERATED FROM PYTHON SOURCE LINES 46-53

.. code-block:: Python

    metadados = pd.read_parquet("sintese/METADADOS_EXECUCAO.parquet")
    print(metadados)

    # A leitura das sínteses realizadas pode ser feita da seguinte forma:
    custos = pd.read_parquet("sintese/CUSTOS.parquet")
    tempo = pd.read_parquet("sintese/TEMPO.parquet")





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

          chave nome_curto                       nome_longo
    0  PROGRAMA   PROGRAMA             Modelo de Otimização
    1    VERSAO     VERSAO                 Versão do Modelo
    2    TITULO     TITULO                 Título do Estudo
    3     TEMPO      TEMPO                Tempo de Execução
    4    CUSTOS     CUSTOS  Composição de Custos da Solução




.. GENERATED FROM PYTHON SOURCE LINES 54-55

O formato dos dados de CUSTOS:

.. GENERATED FROM PYTHON SOURCE LINES 55-57

.. code-block:: Python

    print(custos)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

                    parcela  valor_esperado  desvio_padrao
    0              PRESENTE    6.248078e+04              0
    1                FUTURO    2.434002e+08              0
    2             VIOLACOES    0.000000e+00              0
    3  PEQUENAS PENALIDADES    4.830710e+00              0




.. GENERATED FROM PYTHON SOURCE LINES 58-59

O formato dos dados de TEMPO:

.. GENERATED FROM PYTHON SOURCE LINES 59-61

.. code-block:: Python

    print(tempo)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

                              etapa  tempo  execucao
    0                            PL   18.0         0
    1                            PL   30.0         0
    2                            PL   30.0         0
    3                            PL   42.0         0
    4                          MILP  240.0         0
    5                    PL.Int.Fix   24.0         0
    6                    PL.CalcCMO   30.0         0
    7  Leitura de Dados e Impressão  839.0         0




.. GENERATED FROM PYTHON SOURCE LINES 62-64

Quando se analisam os custos de cada fonte, geralmente são feitos gráficos de barras
empilhadas ou setores:

.. GENERATED FROM PYTHON SOURCE LINES 64-72

.. code-block:: Python


    fig = px.pie(
        custos.loc[custos["valor_esperado"] > 0],
        values="valor_esperado",
        names="parcela",
    )
    fig






.. raw:: html

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    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 73-74

Uma abordagem semelhante é utilizada na análise do tempo de execução:

.. GENERATED FROM PYTHON SOURCE LINES 74-85

.. code-block:: Python


    tempo["tempo"] = pd.to_timedelta(tempo["tempo"], unit="s") / timedelta(hours=1)
    tempo["label"] = [str(timedelta(hours=d)) for d in tempo["tempo"].tolist()]
    fig = px.bar(
        tempo,
        x="etapa",
        y="tempo",
        text="label",
        barmode="group",
    )
    fig





.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
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.. _sphx_glr_download_examples_plot_sintese_execucao.py:

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