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refactor/dataload: ajusta a lógica de geração de ciclos para incluir status fixos para empresas específicas e simplifica a iteração sobre os ciclos #49

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Merged
amandaandrade9410 merged 1 commit into from
Oct 16, 2026
Merged

refactor/dataload: ajusta a lógica de geração de ciclos para incluir status fixos para empresas específicas e simplifica a iteração sobre os ciclos #49

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12 changes: 7 additions & 5 deletions python/dataload.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -201,8 +201,7 @@
" return f'{normalizar(nome_email)}_{gerar_valor_aleatorio(4)}@{choice(provedores_email)}'\n",
"\n",
"def gerar_telefone() -> str:\n",
" return f'{choice(ddds)}9{randint(1000, 9999)}{randint(1000,9999)}'\n",
"\n"
" return f'{choice(ddds)}9{randint(1000, 9999)}{randint(1000,9999)}'"
]
},
{
Expand Down Expand Up @@ -385,10 +384,13 @@
"gestor_ciclo = pd.DataFrame(dados_colaborador).groupby('id_empresa').first().reset_index()\n",
"\n",
"for _, gestor in gestor_ciclo.iterrows():\n",
" qtd_ciclos = QTD_CICLOS_FIXOS if gestor['id_empresa'] in [1, 2, 3] else randint(QTD_CICLOS_MIN, QTD_CICLOS_MAX)\n",
" if gestor['id_empresa'] in [1, 2, 3]:\n",
" status_por_ciclo = status_ciclo\n",
" else:\n",
" qtd_ciclos = randint(QTD_CICLOS_MIN, QTD_CICLOS_MAX)\n",
" status_por_ciclo = [choices(status_ciclo, weights=[25, 25, 25, 20, 3, 1, 1], k=1)[0] for _ in range(qtd_ciclos)]\n",
"\n",
" for _ in range(qtd_ciclos):\n",
" status = choices(status_ciclo, weights=[25, 25, 25, 20, 3, 1, 1], k=1)[0]\n",
" for status in status_por_ciclo:\n",
" dados_ciclo.append({\n",
" 'id_empresa': gestor['id_empresa'],\n",
" 'id_responsavel': gestor['id_usuario'],\n",
Expand Down
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