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tasks.py
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tasks.py
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from invoke import task
import pandas as pd
import os
import sys
from src.salicml.data import csv_to_pickle, data
from src.salicml.data.db_operations import save_sql_to_files, save_sql_to_file, save_dataframe_as_pickle
from src.salicml.data.ftp_updater import execute_upload_pickle
python = sys.executable
sys.path.append('src')
#
# Call python manage.py in a more robust way
#
def manage(ctx, cmd, env=None, **kwargs):
ags = {k.replace('_', '-'): v for k, v in kwargs.items() if v is not False}
opts = ' '.join(f'--{k} {"" if v is True else v}' for k, v in ags.items())
cmd = f'{python} src/salicml_api/manage.py {cmd} {opts}'
env = {**os.environ, **(env or {})}
path = env.get("PYTHONPATH", ":".join(sys.path))
env.setdefault('PYTHONPATH', f'src:{path}')
ctx.run(cmd, pty=True, env=env)
@task
def run(ctx):
"""
Run development server
"""
os.system('service cron start')
manage(ctx, 'runserver 0.0.0.0:8000', env={})
@task
def make(ctx):
"""
Make project migrations
"""
manage(ctx, 'makemigrations', env={})
@task
def migrate(ctx):
"""
Excute project migrations
"""
manage(ctx, 'migrate', env={})
@task
def pickle(ctx, clean=False):
"""
Converts csv files in data/raw/ to pickle files
args:
clean: if True removes csv files after conversion
"""
csv_to_pickle(clean=clean)
@task
def train_metrics(ctx):
"""
Trains the projects financial indicator metrics,
using api models information
"""
manage(ctx, 'update_projects_metrics', env={})
@task(help={'f': "Default is False, force to save files even if already exists"})
def get_pickles(ctx, f=False):
"""
Updates local django db projects and pickle files using salic database from
MinC
Pickles are saved in /data/raw/ from sql queries in /data/scripts/
"""
save_sql_to_files(f)
@task(help={'f': "Default is False, force to update model even if already exists", 'o': "Default is False, avoids query to online database and uses offline csv"})
def update_models(ctx, f=False, o=False):
"""
Updates local django db projects models using salic database from
MinC
"""
base_cmd = 'create_models_from_sql'
if f:
base_cmd += ' --force True'
if o:
base_cmd += ' --offline True'
manage(ctx, base_cmd)
@task
def run_sql(ctx, sql_file, dest):
"""
Runs a sql script file and saves its result as a pickle
Example of usage:
$ inv run-sql --sql-file='./data/scripts/planilha_projetos.sql' --dest='.'
"""
save_sql_to_file(sql_file, dest)
@task(help={'file': 'Pickle file path'})
def update_ftp(ctx, file):
"""
Uploads pickle file to ftp /data/ folder
"""
execute_upload_pickle(file)
@task
def gen_test_df(ctx):
"""
Generate small dataframes that represents the
real dataframes used in metrics training.
"""
print('Generating test dataframes...\n')
print('Generating test planilha orcamentaria...')
# planilha orcamentaria
df_name = 'planilha_orcamentaria'
df_orcamentaria = pd.DataFrame()
for seg in data.planilha_orcamentaria.idSegmento.unique():
is_seg = data.planilha_orcamentaria['idSegmento'] == seg
df_orcamentaria = pd.concat(
[df_orcamentaria, data.planilha_orcamentaria[is_seg].head(20)],
ignore_index=True
)
data.store_test_df(df_name, df_orcamentaria)
print('Generated test planilha orcamentaria!\n')
print('Generating test planilha comprovacao...')
# planilha comprovacao
df_name = 'planilha_comprovacao'
df_comprovacao = pd.DataFrame()
for seg in data.planilha_comprovacao.idSegmento.unique():
is_seg = data.planilha_comprovacao['idSegmento'] == seg
df_comprovacao = pd.concat(
[df_comprovacao, data.planilha_comprovacao[is_seg].head(20)],
ignore_index=True
)
data.store_test_df(df_name, df_comprovacao)
print('Generated test planilha comprovacao!\n')
print('Generating test planilha captacao...')
# planilha captacao
df_name = 'planilha_captacao'
df_captacao = pd.DataFrame()
for p in data.planilha_captacao.Pronac.unique()[:2000]:
is_p = data.planilha_captacao['Pronac'] == p
df_captacao = pd.concat(
[df_captacao, data.planilha_captacao[is_p].head(10)],
ignore_index=True
)
data.store_test_df(df_name, df_captacao)
print('Generated test planilha captacao!\n')
print('Generating test planilha aprovacao comprovacao...')
# planilha aprovacao comprovacao
df_name = 'planilha_aprovacao_comprovacao'
df_aprovacao_comprovacao = pd.DataFrame()
for p in data.planilha_aprovacao_comprovacao.PRONAC.unique()[:2000]:
is_p = data.planilha_aprovacao_comprovacao['PRONAC'] == p
df_aprovacao_comprovacao = pd.concat(
[df_aprovacao_comprovacao, data.planilha_aprovacao_comprovacao[is_p].head(10)],
ignore_index=True
)
data.store_test_df(df_name, df_aprovacao_comprovacao)
print('Generated test planilha aprovacao comprovacao!\n')
data.store_test_df('planilha_projetos', data.planilha_projetos)
print('Finished generation of test dataframes!')
@task
def test_metrics(ctx):
"""
Train metrics with test dataframes.
"""
raw_dir = './data/raw/'
original = os.listdir(raw_dir)
for fname in original:
if '.pickle.gz' in fname:
new_name = 'raw_' + fname
src = raw_dir + fname
dest = raw_dir + new_name
os.rename(src, dest)
try:
manage(ctx, 'update_projects_metrics', env={})
finally:
for fname in os.listdir(raw_dir):
if '.pickle.gz' in fname:
new_name = fname.split('raw_')[1]
src = raw_dir + fname
dest = raw_dir + new_name
os.rename(src, dest)
@task
def set_data(ctx, datatype='dev'):
"""
Set dataframes for use.
"""
data.clear()
raw_dir = './data/raw/'
dev_dir = './data/dev/'
if datatype == 'dev':
pop_raw(dev_dir)
prepend_raw(raw_dir)
elif datatype == 'prod':
pop_raw(raw_dir)
elif datatype == 'test':
pop_raw(raw_dir)
pop_raw(dev_dir)
prepend_raw(raw_dir)
prepend_raw(dev_dir)
@task
def test(ctx):
ctx.run(
'pytest src/salicml_api -vv',
)
@task
def db_test(ctx):
manage(ctx, 'loaddata data/dump/dev_project.json')
@task(help={'c': 'command to be run with manage.py'})
def manager(ctx, c):
"""
Runs commands that needs manage.py context
Example of usage:
$ inv manager createsuperuser
"""
manage(ctx, c, env={})
def prepend_raw(data_dir):
"""
Insert "raw_" to the begining of the file name of all files in data_dir.
"""
for fname in os.listdir(data_dir):
if 'raw_' not in fname and '.pickle.gz' in fname:
new_name = 'raw_' + fname
src = data_dir + fname
dest = data_dir + new_name
os.rename(src, dest)
def pop_raw(data_dir):
"""
Remove "raw_" from the begining of the file name of all files in data_dir.
"""
for fname in os.listdir(data_dir):
if 'raw_' in fname and '.pickle.gz' in fname:
new_name = fname[4:]
src = data_dir + fname
dest = data_dir + new_name
os.rename(src, dest)