def process(client, params):
"""
The ETL pipeline.
It contains the main nodes of the extract-transform-load
pipeline from the COVID-19 process. Mainly, it prepares
which files are necessary to download from the url-source.
Then, it goes through each node by performing the operations
described, namely: gathering, transforming, storing and
visualizing the information.
"""
data_preparation.run(client, params)
for file in params.files_to_download:
params.file = file
if not data_gathering.done(client, params):
data_gathering.update(client, params)
if not data_transform.done(client, params):
data_transform.update(client, params)
if not data_storage.done(client, params):
data_storage.update(client, params)
if not data_viz.done(client, params):
data_viz.update(client, params)
def process(client, params):
# It fails when missing something.
requirements.check(client, params)
if not data_extraction.done(client, params):
data_extraction.update(client, params)
if not data_transform.done(client, params):
data_transform.update(client, params)
if not data_storage.done(client, params):
data_storage.update(client, params)
def process(client, params): """ The ETL pipeline. """ data_requirements.check(client, params) if not data_gathering.done(client, params): data_gathering.update(client, params) if not data_transform.done(client, params): data_transform.update(client, params) if not data_storage.done(client, params): data_storage.update(client, params)
def process(client, params):
"""
The ETL pipeline.
It contains the main nodes of the extract-transform-load
pipeline from the process.
"""
data_preparation.run(client, params)
if not data_gathering.done(client, params):
data_gathering.update(client, params)
if not data_transform.done(client, params):
data_transform.update(client, params)
if not data_storage.done(client, params):
data_storage.update(client, params)
def process(client, params):
"""
The ETL pipeline.
It contains the main nodes of the extract-transform-load
pipeline from the process.
Parameters
----------
client: Client
parmas: Params
Notes
-----
The main idea is to consider each task as a conceptual **node**.
This function, `process` is the **pipeline** that integrates all
tasks together. Each node is a .py file imported from the `nodes`
directory.
The main idea is that each node can be in one of the following state:
- up-to-date: the task to be done given the input parameters is
already completed. Hence, no rework is needed.
- out-of-date: the task to be done is not completed and should be
run.
"""
data_preparation.run(client, params)
if not data_gathering.done(client, params):
data_gathering.update(client, params)
if not data_transform.done(client, params):
data_transform.update(client, params)
if not data_storage.done(client, params):
data_storage.update(client, params)
if not data_viz.done(client, params):
data_viz.update(client, params)
def process(client, params):
"""
This is the core of the ETL-pipeline.
"""
# It fails when missing something.
requirements.check(client, params)
# --> params.csv_files
for file_url in params.csv_files:
params.file_url = file_url
if not data_extraction.done(client, params):
data_extraction.update(client, params)
# -->
if not data_transform.done(client, params):
data_transform.update(client, params)
if not data_storage.done(client, params):
data_storage.update(client, params)
def process(client, params):
"""
The ETL pipeline.
It contains the main nodes of the extract-transform-load
pipeline from the process.
"""
data_preparation.run(client, params)
gather_done = data_gathering.done(client, params)
if len(gather_done) > 0:
data_gathering.update(client, params, gather_done)
gather_done = ['onibus']
if not data_transform.done(client, params, gather_done):
df_pass, df_linha, df_metro = data_transform.update(
client, params, gather_done)
nome_pass = '******'
nome_linha = 'linha'
nome_metro = 'metro'
if not data_storage.done(client, params):
data_storage.update(client, params, df_pass, nome_pass)
data_storage.update(client, params, df_linha, nome_linha)
data_storage.update(client, params, df_metro, nome_metro)
if not data_viz.done(client, params):
data_viz.update(client, params)