def task_download_place_boundaries():
"""
Download place boundaries for each relevant state
"""
tiger = TIGER()
for state in list_states():
yield {
'name': state,
'file_dep': [util.path.CONFIG_PATH],
'actions': [(tiger.download_place_boundaries, (state, ))],
'targets': [tiger.place_boundaries_path(state)],
'uptodate': [doit.tools.run_once],
}
def task_create_tiger_directories():
"""
Create TIGER's directories
"""
tiger = TIGER()
return {
'file_dep': [util.path.CONFIG_PATH],
'targets': tiger.directories,
'actions': [tiger.create_directories],
'uptodate': [True],
}
def task_download_county_boundaries():
"""
Download county boundaries from the TIGER shapefiles
"""
tiger = TIGER()
file = tiger.county_boundaries_path
return {
'file_dep': [util.path.CONFIG_PATH],
'targets': [file],
'actions': [tiger.download_county_boundaries],
'uptodate': [doit.tools.run_once],
}
def task_download_state_boundaries():
"""
Download state boundaries from the ACS website
"""
tiger = TIGER()
file = tiger.state_boundaries_path
return {
'file_dep': [util.path.CONFIG_PATH],
'targets': [file],
'actions': [tiger.download_state_boundaries],
'uptodate': [True],
}
def task_guess_states():
"""
Guess the state for each department
"""
tiger = TIGER()
for dept in Department.list():
yield {
'name':
dept.name,
'file_dep': [
tiger.state_boundaries_path,
dept.preprocessed_shapefile_path,
],
'targets': [dept.guessed_state_path],
'actions': [dept.guess_state],
'clean':
True,
}