def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.RawDescriptionHelpFormatter,
description=textwrap.dedent('''\
Command line to help debug DV360 reports and build reporting tools.
Examples:
To get list of reports: python helper.py --list -u [user credentials path]
To get report json: python helper.py --report [id] -u [user credentials path]
To get report schema: python helper.py --schema [id] -u [user credentials path]
To get report sample: python helper.py --sample [id] -u [user credentials path]
'''))
# create parameters
parser.add_argument('--report', help='report ID to pull json definition', default=None)
parser.add_argument('--schema', help='report ID to pull schema format', default=None)
parser.add_argument('--sample', help='report ID to pull sample data', default=None)
parser.add_argument('--list', help='list reports', action='store_true')
# initialize project
project.from_commandline(parser=parser, arguments=('-u', '-c', '-s', '-v'))
auth = 'service' if project.args.service else 'user'
# get report
if project.args.report:
report = API_DBM(auth).queries().getquery(queryId=project.args.report).execute()
print(json.dumps(report, indent=2, sort_keys=True))
# get schema
elif project.args.schema:
filename, report = report_file(auth, project.args.schema, None, 10)
rows = report_to_rows(report)
rows = report_clean(rows)
rows = rows_to_type(rows)
print(json.dumps(get_schema(rows)[1], indent=2, sort_keys=True))
# get sample
elif project.args.sample:
filename, report = report_file(auth, project.args.sample, None, 10)
rows = report_to_rows(report)
rows = report_clean(rows)
rows = rows_to_type(rows)
for r in rows_print(rows, row_min=0, row_max=20): pass
# get list
else:
for report in API_DBM(auth, iterate=True).queries().listqueries().execute():
print(json.dumps(report, indent=2, sort_keys=True))
def floodlight_rows(
config, task: dict, report_id: int
) -> Generator[list[str, str, str, str, str, str, int], None, None]:
""" Monitor a report for completion and return rows
Args:
report_id - the report created earlier for a specific floodlight id.
Returns:
A stream of rows, see FLOODLIGHT_* constants for definitions.
"""
# fetch report file if it exists
filename, report = report_file(
config,
task['auth'],
task['account'],
report_id,
None, # no name
10 # wait up to 10 minutes for report to complete
)
# clean up rows
rows = report_to_rows(report)
rows = report_clean(rows)
rows = rows_header_trim(rows)
rows = rows_to_type(rows, column=6)
return rows
def create_cm_site_segmentation(config, task):
# Read sheet to bq table
sheet_rows = sheets_read(config, task['auth_sheets'], task['sheet'], 'CM_Site_Segments', 'A:C', retries=10)
if not sheet_rows:
sheet_rows = []
schema = [
{ "type": "STRING", "name": "Site_Dcm", "mode": "NULLABLE" },
{ "type": "INTEGER", "name": "Impressions", "mode": "NULLABLE" },
{ "type": "STRING", "name": "Site_Type", "mode": "NULLABLE" }
]
rows_to_table(
config,
auth=task['auth_bq'],
project_id=config.project,
dataset_id=task['dataset'],
table_id=CM_SITE_SEGMENTATION_SHEET_TABLE,
rows=sheet_rows,
schema=schema,
skip_rows=1,
disposition='WRITE_TRUNCATE'
)
# Get Site_Type from the sheet
run_query_from_file(config, task, Queries.cm_site_segmentation.replace('{{dataset}}', task['dataset']), CM_SITE_SEGMENTATION_TABLE)
# Move Table back to sheets
query = 'SELECT * from `' + config.project + '.' + task['dataset'] + '.' + CM_SITE_SEGMENTATION_TABLE + '`'
rows = query_to_rows(config, task['auth_bq'], config.project, task['dataset'], query, legacy=False)
# makes sure types are correct in sheet
rows = rows_to_type(rows)
sheets_clear(config, task['auth_sheets'], task['sheet'], 'CM_Site_Segments', 'A2:C')
sheets_write(config, task['auth_sheets'], task['sheet'], 'CM_Site_Segments', 'A2:C', rows)
def sheets():
rows = sheets_read(project.task['auth'], project.task['sheets']['url'],
project.task['sheets']['tab'],
project.task['sheets']['range'])
rows = rows_to_type(rows)
object_compare(list(rows), project.task['sheets']['values'])
def sheets(config, task):
print('TEST: sheets')
rows = sheets_read(config, task['auth'], task['sheets']['sheet'],
task['sheets']['tab'], task['sheets']['range'])
rows = rows_to_type(rows)
object_compare(list(rows), task['sheets']['values'])
def create_cm_site_segmentation(project):
# Read sheet to bq table
sheet_rows = sheets_read('user',
project.task['sheet'],
'CM_Site_Segments',
'A:C',
retries=10)
if not sheet_rows:
sheet_rows = []
schema = [{
"type": "STRING",
"name": "Site_Dcm",
"mode": "NULLABLE"
}, {
"type": "INTEGER",
"name": "Impressions",
"mode": "NULLABLE"
}, {
"type": "STRING",
"name": "Site_Type",
"mode": "NULLABLE"
}]
rows_to_table(auth='service',
project_id=project.id,
dataset_id=project.task['dataset'],
table_id=CM_SITE_SEGMENTATION_SHEET_TABLE,
rows=sheet_rows,
schema=schema,
skip_rows=1,
disposition='WRITE_TRUNCATE')
# Get Site_Type from the sheet
run_query_from_file(
os.path.join(os.path.dirname(__file__),
SQL_DIRECTORY + CM_SITE_SEGMENTATION_FILENAME),
project.id, project.task['dataset'], CM_SITE_SEGMENTATION_TABLE)
# Move Table back to sheets
query = 'SELECT * from `' + project.id + '.' + project.task[
'dataset'] + '.' + CM_SITE_SEGMENTATION_TABLE + '`'
rows = query_to_rows('service',
project.id,
project.task['dataset'],
query,
legacy=False)
# makes sure types are correct in sheet
rows = rows_to_type(rows)
sheets_clear('user', project.task['sheet'], 'CM_Site_Segments', 'A2:C')
sheets_write('user', project.task['sheet'], 'CM_Site_Segments', 'A2:C',
rows)
def create_dv360_segments(config, task):
a1_notation = 'A:N'
schema = [
{ "type": "STRING", "name": "Advertiser", "mode": "NULLABLE" },
{ "type": "INTEGER", "name": "Advertiser_Id", "mode": "NULLABLE" },
{ "type": "STRING", "name": "Campaign", "mode": "NULLABLE" },
{ "type": "INTEGER", "name": "Campaign_Id", "mode": "NULLABLE" },
{ "type": "STRING", "name": "Insertion_Order", "mode": "NULLABLE" },
{ "type": "INTEGER", "name": "Insertion_Order_Id", "mode": "NULLABLE" },
{ "type": "STRING", "name": "Line_Item", "mode": "NULLABLE" },
{ "type": "INTEGER", "name": "Line_Item_Id", "mode": "NULLABLE" },
{ "type": "STRING", "name": "Line_Item_Type", "mode": "NULLABLE" },
{ "type": "INTEGER", "name": "Impressions", "mode": "NULLABLE" },
{ "type": "STRING", "name": "SegmentAutoGen", "mode": "NULLABLE" },
{ "type": "STRING", "name": "Segment1", "mode": "NULLABLE" },
{ "type": "STRING", "name": "Segment2", "mode": "NULLABLE" },
{ "type": "STRING", "name": "Segment3", "mode": "NULLABLE" }
]
sheet_rows = sheets_read(config, task['auth_sheets'], task['sheet'], 'DV3 Segments', a1_notation, retries=10)
if not sheet_rows:
sheet_rows = []
print('DV360 SEGMENT SHEET TABLE WRITE')
rows_to_table(
config,
auth=task['auth_bq'],
project_id=config.project,
dataset_id=task['dataset'],
table_id=DV360_CUSTOM_SEGMENTS_SHEET_TABLE,
rows=sheet_rows,
schema=schema,
skip_rows=1,
disposition='WRITE_TRUNCATE'
)
# Run Query
if config.verbose:
print('RUN DV360 Custom Segments Query')
run_query_from_file(config, task, Queries.dv360_custom_segments.replace('{{dataset}}', task['dataset']), DV360_CUSTOM_SEGMENTS_TABLE)
# Move Table back to sheets
query = 'SELECT * from `' + config.project + '.' + task['dataset'] + '.' + DV360_CUSTOM_SEGMENTS_TABLE + '`'
rows = query_to_rows(config, task['auth_bq'], config.project, task['dataset'], query, legacy=False)
# makes sure types are correct in sheet
a1_notation = a1_notation[:1] + '2' + a1_notation[1:]
rows = rows_to_type(rows)
sheets_clear(config, task['auth_sheets'], task['sheet'], 'DV3 Segments', a1_notation)
sheets_write(config, task['auth_sheets'], task['sheet'], 'DV3 Segments', a1_notation, rows)
def floodlight_rows(report_id):
# fetch report file if it exists
filename, report = report_file(project.task['auth'],
project.task['account'], report_id, None,
10)
# clean up rows
rows = report_to_rows(report)
rows = report_clean(rows)
rows = rows_header_trim(rows)
rows = rows_to_type(rows, column=6)
return rows
def floodlight_monitor():
if project.verbose: print("FLOODLIGHT MONITOR")
# make sure tab exists in sheet ( deprecated, use sheet task instead )
if 'template' in project.task['sheet']:
sheets_tab_copy(project.task['auth'],
project.task['sheet']['template']['sheet'],
project.task['sheet']['template']['tab'],
project.task['sheet']['sheet'],
project.task['sheet']['tab'])
# read peers from sheet
triggers = sheets_read(project.task['auth'],
project.task['sheet']['sheet'],
project.task['sheet']['tab'],
project.task['sheet']['range'])
# 0 - Floodlight Id
# 1 - email
if project.verbose and len(triggers) == 0:
print("FLOODLIGHT MONITOR: No floodlight ids specified in sheet.")
alerts = {}
day = None
for trigger in triggers:
# get report data for each floodlight
report = floodlight_report(trigger[0])
rows = report_to_rows(report)
rows = report_clean(rows)
rows = rows_header_trim(rows)
rows = rows_to_type(rows, column=6)
# calculate outliers
last_day, rows = floodlight_analysis(rows)
if last_day:
# find last day report ran
day = last_day if day is None else max(day, last_day)
# group alerts by email
alerts.setdefault(trigger[1], [])
alerts[trigger[1]].extend(rows)
if alerts:
floodlight_email(day, alerts)
def create_cm_site_segmentation(project):
# Read sheet to bq table
sheet_rows = sheets_read(
'user', project.task['sheet'], 'CM_Site_Segments', 'A:C', retries=10)
if not sheet_rows:
sheet_rows = []
schema = [{
'type': 'STRING',
'name': 'Site_Dcm',
'mode': 'NULLABLE'
}, {
'type': 'INTEGER',
'name': 'Impressions',
'mode': 'NULLABLE'
}, {
'type': 'STRING',
'name': 'Site_Type',
'mode': 'NULLABLE'
}]
rows_to_table(
auth='service',
project_id=project.id,
dataset_id=project.task['dataset'],
table_id=CM_SITE_SEGMENTATION_SHEET_TABLE,
rows=sheet_rows,
schema=schema,
skip_rows=1,
disposition='WRITE_TRUNCATE')
# Get Site_Type from the sheet
run_query_from_file(Queries.cm_site_segmentation, CM_SITE_SEGMENTATION_TABLE)
# Move Table back to sheets
query = 'SELECT * from `' + project.id + '.' + project.task[
'dataset'] + '.' + CM_SITE_SEGMENTATION_TABLE + '`'
rows = query_to_rows(
'service', project.id, project.task['dataset'], query, legacy=False)
# makes sure types are correct in sheet
rows = rows_to_type(rows)
sheets_clear('user', project.task['sheet'], 'CM_Site_Segments', 'A2:C')
sheets_write('user', project.task['sheet'], 'CM_Site_Segments', 'A2:C', rows)
# initialize project
project.from_commandline(parser=parser)
auth = 'service' if project.args.service else 'user'
# get report
if project.args.report:
report = API_DBM(auth).queries().getquery(queryId=project.args.report).execute()
print json.dumps(report, indent=2, sort_keys=True)
# get schema
elif project.args.schema:
filename, report = report_file(auth, project.args.schema, None, 10)
rows = report_to_rows(report)
rows = report_clean(rows)
rows = rows_to_type(rows)
print json.dumps(get_schema(rows)[1], indent=2, sort_keys=True)
# get sample
elif project.args.sample:
filename, report = report_file(auth, project.args.sample, None, 10)
rows = report_to_rows(report)
rows = report_clean(rows)
rows = rows_to_type(rows)
for r in rows_print(rows, row_min=0, row_max=20): pass
# get list
else:
for report in API_DBM(auth, iterate=True).queries().listqueries().execute():
print json.dumps(report, indent=2, sort_keys=True)
def bigquery_query():
"""Execute a query and write results to table.
TODO: Replace with get_rows and put_rows combination.
See: scripts/bigquery_query.json
scripts/bigquery_storage.json
scripts/bigquery_to_sheet.json
scripts/bigquery_view.json
"""
if 'table' in project.task['to']:
if project.verbose:
print('QUERY TO TABLE', project.task['to']['table'])
query_to_table(
project.task['auth'],
project.id,
project.task['to']['dataset'],
project.task['to']['table'],
query_parameters(project.task['from']['query'],
project.task['from'].get('parameters')),
disposition=project.task['write_disposition']
if 'write_disposition' in project.task else 'WRITE_TRUNCATE',
legacy=project.task['from'].get(
'legacy',
project.task['from'].get('useLegacySql',
True)), # DEPRECATED: useLegacySql,
target_project_id=project.task['to'].get('project_id', project.id))
elif 'sheet' in project.task['to']:
if project.verbose:
print('QUERY TO SHEET', project.task['to']['sheet'])
rows = query_to_rows(project.task['auth'],
project.id,
project.task['from']['dataset'],
query_parameters(
project.task['from']['query'],
project.task['from'].get('parameters')),
legacy=project.task['from'].get('legacy', True))
# makes sure types are correct in sheet
rows = rows_to_type(rows)
sheets_clear(project.task['to'].get('auth', project.task['auth']),
project.task['to']['sheet'], project.task['to']['tab'],
project.task['to'].get('range', 'A2'))
sheets_write(project.task['to'].get('auth', project.task['auth']),
project.task['to']['sheet'], project.task['to']['tab'],
project.task['to'].get('range', 'A2'), rows)
elif 'sftp' in project.task['to']:
if project.verbose:
print('QUERY TO SFTP')
rows = query_to_rows(
project.task['auth'],
project.id,
project.task['from']['dataset'],
query_parameters(project.task['from']['query'],
project.task['from'].get('parameters')),
legacy=project.task['from'].get('use_legacy_sql', True))
if rows:
put_rows(project.task['auth'], project.task['to'], rows)
else:
if project.verbose:
print('QUERY TO VIEW', project.task['to']['view'])
query_to_view(
project.task['auth'],
project.id,
project.task['to']['dataset'],
project.task['to']['view'],
query_parameters(project.task['from']['query'],
project.task['from'].get('parameters')),
project.task['from'].get(
'legacy',
project.task['from'].get('useLegacySql',
True)), # DEPRECATED: useLegacySql
project.task['to'].get('replace', False))
def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.RawDescriptionHelpFormatter,
description=textwrap.dedent("""\
Command line to help debug CM reports and build reporting tools.
Examples:
To get list of reports: python cm.py --account [id] --list -u [user credentials path]
To get report: python cm.py --account [id] --report [id] -u [user credentials path]
To get report files: python cm.py --account [id] --files [id] -u [user credentials path]
To get report sample: python cm.py --account [id] --sample [id] -u [user credentials path]
To get report schema: python cm.py --account [id] --schema [id] -u [user credentials path]
"""))
parser.add_argument('--account',
help='Account ID to use to pull the report.',
default=None)
parser.add_argument('--report',
help='Report ID to pull JSON definition.',
default=None)
parser.add_argument('--schema',
help='Report ID to pull achema definition.',
default=None)
parser.add_argument('--sample',
help='Report ID to pull sample data.',
default=None)
parser.add_argument('--files',
help='Report ID to pull file list.',
default=None)
parser.add_argument('--list', help='List reports.', action='store_true')
# initialize project
parser = commandline_parser(parser, arguments=('-u', '-c', '-s', '-v'))
args = parser.parse_args()
config = Configuration(user=args.user,
client=args.client,
service=args.service,
verbose=args.verbose)
auth = 'service' if args.service else 'user'
is_superuser, profile = get_profile_for_api(config, auth, args.account)
kwargs = {
'profileId': profile,
'accountId': args.account
} if is_superuser else {
'profileId': profile
}
# get report list
if args.report:
kwargs['reportId'] = args.report
report = API_DCM(
config, auth,
internal=is_superuser).reports().get(**kwargs).execute()
print(json.dumps(report, indent=2, sort_keys=True))
# get report files
elif args.files:
kwargs['reportId'] = args.files
for rf in API_DCM(
config, auth, internal=is_superuser,
iterate=True).reports().files().list(**kwargs).execute():
print(json.dumps(rf, indent=2, sort_keys=True))
# get schema
elif args.schema:
filename, report = report_file(config, auth, args.account, args.schema,
None, 10)
rows = report_to_rows(report)
rows = report_clean(rows)
print(json.dumps(report_schema(next(rows)), indent=2, sort_keys=True))
# get sample
elif args.sample:
filename, report = report_file(config, auth, args.account, args.sample,
None, 10)
rows = report_to_rows(report)
rows = report_clean(rows)
rows = rows_to_type(rows)
for r in rows_print(rows, row_min=0, row_max=20):
pass
# get list
else:
for report in API_DCM(config,
auth,
internal=is_superuser,
iterate=True).reports().list(**kwargs).execute():
print(json.dumps(report, indent=2, sort_keys=True))
def sheets():
if project.verbose: print 'SHEETS'
# clear if specified
if project.task.get('clear', False):
sheets_clear(project.task['auth'], project.task['sheet'],
project.task['tab'], project.task['range'])
# delete if specified ( after clear to prevent errors in case both are given )
if project.task.get('delete', False):
sheets_tab_delete(project.task['auth'], project.task['sheet'],
project.task['tab'])
# create or copy if specified
if 'template' in project.task:
sheets_tab_copy(project.task['auth'],
project.task['template']['sheet'],
project.task['template']['tab'], project.task['sheet'],
project.task['tab'])
else:
sheets_tab_create(project.task['auth'], project.task['sheet'],
project.task['tab'])
# write data if specified
if 'write' in project.task:
rows = get_rows(project.task['auth'], project.task['write'])
sheets_write(project.task['auth'], project.task['sheet'],
project.task['tab'], project.task['range'], rows)
# move if specified
if 'out' in project.task:
rows = sheets_read(project.task['auth'], project.task['sheet'],
project.task['tab'], project.task['range'])
if rows:
schema = None
# RECOMMENDED: define schema in json
if project.task['out']['bigquery'].get('schema'):
if project.verbose: print 'SHEETS SCHEMA DEFINED'
schema = project.task['out']['bigquery']['schema']
# NOT RECOMMENDED: determine schema if missing
else:
if project.verbose:
print 'SHEETS SCHEMA DETECT ( Note Recommended - Define Schema In JSON )'
# cast rows to types ( for schema detection )
rows = rows_to_type(rows)
rows, schema = get_schema(rows,
project.task.get('header', False),
infer_type=project.task.get(
'infer_type', True))
# write to table ( not using put because no use cases for other destinations )
rows_to_table(
auth=project.task['out'].get('auth', project.task['auth']),
project_id=project.id,
dataset_id=project.task['out']['bigquery']['dataset'],
table_id=project.task['out']['bigquery']['table'],
rows=rows,
schema=schema,
skip_rows=1 if project.task.get('header', False) else 0,
disposition=project.task['out']['bigquery'].get(
'disposition', 'WRITE_TRUNCATE'))
else:
print 'SHEET EMPTY'
def put_rows(auth, destination, rows, schema=None, variant=''):
"""Processes standard write JSON block for dynamic export of data.
Allows us to quickly write the results of a script to a destination. For
example
write the results of a DCM report into BigQuery.
- Will write to multiple destinations if specified.
- Extensible, add a handler to define a new destination ( be kind update the
documentation json ).
Include the following JSON in a recipe, then in the run.py handler when
encountering that block pass it to this function and use the returned results.
from utils.data import put_rows
var_json = {
"out":{
"bigquery":{
"auth":"[ user or service ]",
"dataset": [ string ],
"table": [ string ]
"schema": [ json - standard bigquery schema json ],
"header": [ boolean - true if header exists in rows ]
"disposition": [ string - same as BigQuery documentation ]
},
"sheets":{
"auth":"[ user or service ]",
"sheet":[ string - full URL, suggest using share link ],
"tab":[ string ],
"range":[ string - A1:A notation ]
"append": [ boolean - if sheet range should be appended to ]
"delete": [ boolean - if sheet range should be cleared before writing ]
]
},
"storage":{
"auth":"[ user or service ]",
"bucket": [ string ],
"path": [ string ]
},
"file":[ string - full path to place to write file ]
}
}
values = put_rows('user', var_json)
Or you can use it directly with project singleton.
from util.project import project
from utils.data import put_rows
@project.from_parameters
def something():
values = get_rows(project.task['auth'], project.task['out'])
if __name__ == "__main__":
something()
Args:
auth: (string) The type of authentication to use, user or service.
rows: ( iterator ) The list of rows to be written, if NULL no action is performed.
schema: (json) A bigquery schema definition.
destination: (json) A json block resembling var_json described above. rows (
list ) The data being written as a list object. variant (string) Appended
to destination to differentieate multiple objects
Returns:
If unnest is False: Returns a list of row values [[v1], [v2], ... ]
If unnest is True: Returns a list of values [v1, v2, ...]
"""
if rows is None:
if project.verbose:
print('PUT ROWS: Rows is None, ignoring write.')
return
if 'bigquery' in destination:
if not schema:
schema = destination['bigquery'].get('schema')
skip_rows = 1 if destination['bigquery'].get('header') and schema else 0
if destination['bigquery'].get('format', 'CSV') == 'JSON':
json_to_table(
destination['bigquery'].get('auth', auth),
destination['bigquery'].get('project_id', project.id),
destination['bigquery']['dataset'],
destination['bigquery']['table'] + variant,
rows,
schema,
destination['bigquery'].get('disposition', 'WRITE_TRUNCATE'),
)
elif destination['bigquery'].get('is_incremental_load', False) == True:
incremental_rows_to_table(
destination['bigquery'].get('auth', auth),
destination['bigquery'].get('project_id', project.id),
destination['bigquery']['dataset'],
destination['bigquery']['table'] + variant,
rows,
schema,
destination['bigquery'].get('skip_rows', skip_rows),
destination['bigquery'].get('disposition', 'WRITE_APPEND'),
billing_project_id=project.id)
else:
rows_to_table(
destination['bigquery'].get('auth', auth),
destination['bigquery'].get('project_id', project.id),
destination['bigquery']['dataset'],
destination['bigquery']['table'] + variant,
rows,
schema,
destination['bigquery'].get('skip_rows', skip_rows),
destination['bigquery'].get('disposition', 'WRITE_TRUNCATE'),
)
if 'sheets' in destination:
if destination['sheets'].get('delete', False):
sheets_clear(
destination['sheets'].get('auth', auth),
destination['sheets']['sheet'],
destination['sheets']['tab'] + variant,
destination['sheets']['range'],
)
sheets_write(
destination['sheets'].get('auth', auth),
destination['sheets']['sheet'],
destination['sheets']['tab'] + variant,
destination['sheets']['range'],
rows_to_type(rows),
destination['sheets'].get('append', False),
)
if 'file' in destination:
path_out, file_ext = destination['file'].rsplit('.', 1)
file_out = path_out + variant + '.' + file_ext
if project.verbose:
print('SAVING', file_out)
makedirs_safe(parse_path(file_out))
with open(file_out, 'w') as save_file:
save_file.write(rows_to_csv(rows).read())
if 'storage' in destination and destination['storage'].get(
'bucket') and destination['storage'].get('path'):
bucket_create(
destination['storage'].get('auth', auth),
project.id,
destination['storage']['bucket']
)
# put the file
file_out = destination['storage']['bucket'] + ':' + destination['storage'][
'path'] + variant
if project.verbose:
print('SAVING', file_out)
object_put(auth, file_out, rows_to_csv(rows))
if 'sftp' in destination:
try:
cnopts = pysftp.CnOpts()
cnopts.hostkeys = None
path_out, file_out = destination['sftp']['file'].rsplit('.', 1)
file_out = path_out + variant + file_out
sftp = pysftp.Connection(
host=destination['sftp']['host'],
username=destination['sftp']['username'],
password=destination['sftp']['password'],
port=destination['sftp']['port'],
cnopts=cnopts)
if '/' in file_out:
dir_out, file_out = file_out.rsplit('/', 1)
sftp.cwd(dir_out)
sftp.putfo(rows_to_csv(rows), file_out)
except e:
print(str(e))
traceback.print_exc()
def bigquery():
if 'run' in project.task and 'query' in project.task.get('run', {}):
if project.verbose: print("QUERY", project.task['run']['query'])
run_query(
project.task['auth'],
project.id,
project.task['run']['query'],
project.task['run'].get('legacy', True),
#project.task['run'].get('billing_project_id', None)
)
elif 'values' in project.task['from']:
rows = get_rows(project.task['auth'], project.task['from'])
rows_to_table(project.task['to'].get('auth', project.task['auth']),
project.id, project.task['to']['dataset'],
project.task['to']['table'], rows,
project.task.get('schema', []), 0)
elif 'query' in project.task['from']:
if 'table' in project.task['to']:
if project.verbose:
print("QUERY TO TABLE", project.task['to']['table'])
if 'pre_process_query' in project.task['to']:
print('executing statement')
execute_statement(project.task['auth'],
project.id,
project.task['to']['dataset'],
project.task['to']['pre_process_query'],
use_legacy_sql=project.task['from'].get(
'legacy', project.task['from'].get(
'useLegacySql', True)))
query_to_table(
project.task['auth'],
project.id,
project.task['to']['dataset'],
project.task['to']['table'],
query_parameters(project.task['from']['query'],
project.task['from'].get('parameters')),
disposition=project.task['write_disposition']
if 'write_disposition' in project.task else 'WRITE_TRUNCATE',
legacy=project.task['from'].get(
'legacy', project.task['from'].get(
'useLegacySql', True)), # DEPRECATED: useLegacySql,
target_project_id=project.task['to'].get(
'project_id', project.id))
# NOT USED SO RIPPING IT OUT
# Mauriciod: Yes, it is used, look at project/mauriciod/target_winrate.json
elif 'storage' in project.task['to']:
if project.verbose:
print("QUERY TO STORAGE", project.task['to']['storage'])
local_file_name = '/tmp/%s' % str(uuid.uuid1())
rows = query_to_rows(project.task['auth'], project.id,
project.task['from']['dataset'],
project.task['from']['query'])
f = open(local_file_name, 'wb')
writer = csv.writer(f)
writer.writerows(rows)
f.close()
f = open(local_file_name, 'rb')
object_put(project.task['auth'], project.task['to']['storage'], f)
f.close()
os.remove(local_file_name)
elif 'sheet' in project.task['to']:
if project.verbose:
print("QUERY TO SHEET", project.task['to']['sheet'])
rows = query_to_rows(project.task['auth'],
project.id,
project.task['from']['dataset'],
project.task['from']['query'],
legacy=project.task['from'].get(
'legacy', True))
# makes sure types are correct in sheet
rows = rows_to_type(rows)
sheets_clear(project.task['auth'], project.task['to']['sheet'],
project.task['to']['tab'],
project.task['to'].get('range', 'A2'))
sheets_write(project.task['auth'], project.task['to']['sheet'],
project.task['to']['tab'],
project.task['to'].get('range', 'A2'), rows)
elif 'sftp' in project.task['to']:
rows = query_to_rows(project.task['auth'],
project.id,
project.task['from']['dataset'],
project.task['from']['query'],
legacy=project.task['from'].get(
'use_legacy_sql', True))
if rows:
if project.verbose: print("QUERY TO SFTP")
put_rows(project.task['auth'], project.task['to'], rows)
else:
if project.verbose:
print("QUERY TO VIEW", project.task['to']['view'])
query_to_view(
project.task['auth'],
project.id,
project.task['to']['dataset'],
project.task['to']['view'],
query_parameters(project.task['from']['query'],
project.task['from'].get('parameters')),
project.task['from'].get(
'legacy', project.task['from'].get(
'useLegacySql', True)), # DEPRECATED: useLegacySql
project.task['to'].get('replace', False))
else:
if project.verbose:
print("STORAGE TO TABLE", project.task['to']['table'])
storage_to_table(
project.task['auth'], project.id, project.task['to']['dataset'],
project.task['to']['table'], project.task['from']['bucket'] + ':' +
project.task['from']['path'], project.task.get('schema', []),
project.task.get('skip_rows', 1),
project.task.get('structure', 'CSV'),
project.task.get('disposition', 'WRITE_TRUNCATE'))
def bigquery():
if 'function' in project.task:
query = None
if project.task['function'] == 'pearson_significance_test':
query = pearson_significance_test()
if query:
run_query(project.task['auth'], project.id, query, False,
project.task['to']['dataset'])
elif 'run' in project.task and 'query' in project.task.get('run', {}):
if project.verbose:
print('QUERY', project.task['run']['query'])
run_query(
project.task['auth'],
project.id,
query_parameters(project.task['run']['query'],
project.task['run'].get('parameters')),
project.task['run'].get('legacy', True),
)
elif 'values' in project.task['from']:
rows = get_rows(project.task['auth'], project.task['from'])
rows_to_table(project.task['to'].get('auth', project.task['auth']),
project.id, project.task['to']['dataset'],
project.task['to']['table'], rows,
project.task.get('schema', []), 0)
elif 'query' in project.task['from']:
if 'table' in project.task['to']:
if project.verbose:
print('QUERY TO TABLE', project.task['to']['table'])
query_to_table(
project.task['auth'],
project.id,
project.task['to']['dataset'],
project.task['to']['table'],
query_parameters(project.task['from']['query'],
project.task['from'].get('parameters')),
disposition=project.task['write_disposition']
if 'write_disposition' in project.task else 'WRITE_TRUNCATE',
legacy=project.task['from'].get(
'legacy', project.task['from'].get(
'useLegacySql', True)), # DEPRECATED: useLegacySql,
target_project_id=project.task['to'].get(
'project_id', project.id))
elif 'sheet' in project.task['to']:
if project.verbose:
print('QUERY TO SHEET', project.task['to']['sheet'])
rows = query_to_rows(
project.task['auth'],
project.id,
project.task['from']['dataset'],
query_parameters(project.task['from']['query'],
project.task['from'].get('parameters')),
legacy=project.task['from'].get('legacy', True))
# makes sure types are correct in sheet
rows = rows_to_type(rows)
sheets_clear(project.task['to'].get('auth', project.task['auth']),
project.task['to']['sheet'],
project.task['to']['tab'],
project.task['to'].get('range', 'A2'))
sheets_write(project.task['to'].get('auth', project.task['auth']),
project.task['to']['sheet'],
project.task['to']['tab'],
project.task['to'].get('range', 'A2'), rows)
elif 'sftp' in project.task['to']:
rows = query_to_rows(
project.task['auth'],
project.id,
project.task['from']['dataset'],
query_parameters(project.task['from']['query'],
project.task['from'].get('parameters')),
legacy=project.task['from'].get('use_legacy_sql', True))
if rows:
if project.verbose:
print('QUERY TO SFTP')
put_rows(project.task['auth'], project.task['to'], rows)
else:
if project.verbose:
print('QUERY TO VIEW', project.task['to']['view'])
query_to_view(
project.task['auth'],
project.id,
project.task['to']['dataset'],
project.task['to']['view'],
query_parameters(project.task['from']['query'],
project.task['from'].get('parameters')),
project.task['from'].get(
'legacy', project.task['from'].get(
'useLegacySql', True)), # DEPRECATED: useLegacySql
project.task['to'].get('replace', False))
else:
if project.verbose:
print('STORAGE TO TABLE', project.task['to']['table'])
storage_to_table(
project.task['auth'], project.id, project.task['to']['dataset'],
project.task['to']['table'], project.task['from']['bucket'] + ':' +
project.task['from']['path'], project.task.get('schema', []),
project.task.get('skip_rows', 1),
project.task.get('structure', 'CSV'),
project.task.get('disposition', 'WRITE_TRUNCATE'))
def sheets():
if project.verbose: print('SHEETS')
# if sheet or tab is missing, don't do anything
if not project.task.get('sheet') or not project.task.get('tab'):
if project.verbose: print('Missing Sheet and/or Tab, skipping task.')
return
# delete if specified, will delete sheet if no more tabs remain
if project.task.get('delete', False):
sheets_tab_delete(project.task['auth'], project.task['sheet'],
project.task['tab'])
# create a sheet and tab if specified, if template
if 'template' in project.task:
sheets_create(
project.task['auth'],
project.task['sheet'],
project.task['tab'],
project.task['template'].get('sheet'),
project.task['template'].get('tab'),
)
# copy template if specified ( clear in this context means overwrite )
#if project.task.get('template', {}).get('sheet'):
# sheets_tab_copy(
# project.task['auth'],
# project.task['template']['sheet'],
# project.task['template']['tab'],
# project.task['sheet'],
# project.task['tab'],
# project.task.get('clear', False)
# )
# if no template at least create tab
#else:
# sheets_tab_create(
# project.task['auth'],
# project.task['sheet'],
# project.task['tab']
# )
# clear if specified
if project.task.get('clear', False):
sheets_clear(project.task['auth'], project.task['sheet'],
project.task['tab'], project.task.get('range', 'A1'))
# write data if specified
if 'write' in project.task:
rows = get_rows(project.task['auth'], project.task['write'])
sheets_write(project.task['auth'],
project.task['sheet'],
project.task['tab'],
project.task['range'],
rows,
append=False)
# append data if specified
if 'append' in project.task:
rows = get_rows(project.task['auth'], project.task['append'])
sheets_write(project.task['auth'],
project.task['sheet'],
project.task['tab'],
project.task['range'],
rows,
append=True)
# move data if specified
# move data if specified
if 'out' in project.task:
rows = sheets_read(project.task['auth'],
project.task['sheet'], project.task['tab'],
project.task.get('range', 'A1'))
if rows:
schema = None
# RECOMMENDED: define schema in json
if project.task['out']['bigquery'].get('schema'):
if project.verbose: print('SHEETS SCHEMA DEFINED')
schema = project.task['out']['bigquery']['schema']
# NOT RECOMMENDED: determine schema if missing
else:
if project.verbose:
print(
'SHEETS SCHEMA DETECT ( Note Recommended - Define Schema In JSON )'
)
# cast rows to types ( for schema detection )
rows = rows_to_type(rows)
rows, schema = get_schema(rows,
project.task.get('header', False),
infer_type=project.task.get(
'infer_type', True))
# write to table ( not using put because no use cases for other destinations )
rows_to_table(
auth=project.task['out'].get('auth', project.task['auth']),
project_id=project.id,
dataset_id=project.task['out']['bigquery']['dataset'],
table_id=project.task['out']['bigquery']['table'],
rows=rows,
schema=schema,
skip_rows=1 if project.task.get('header', False) else 0,
disposition=project.task['out']['bigquery'].get(
'disposition', 'WRITE_TRUNCATE'))
else:
print('SHEET EMPTY')
def create_dv360_segments(project):
a1_notation = 'A:M'
schema = [{
'type': 'STRING',
'name': 'Advertiser',
'mode': 'NULLABLE'
}, {
'type': 'INTEGER',
'name': 'Advertiser_Id',
'mode': 'NULLABLE'
}, {
'type': 'STRING',
'name': 'Campaign',
'mode': 'NULLABLE'
}, {
'type': 'INTEGER',
'name': 'Campaign_Id',
'mode': 'NULLABLE'
}, {
'type': 'STRING',
'name': 'Insertion_Order',
'mode': 'NULLABLE'
}, {
'type': 'INTEGER',
'name': 'Insertion_Order_Id',
'mode': 'NULLABLE'
}, {
'type': 'STRING',
'name': 'Line_Item',
'mode': 'NULLABLE'
}, {
'type': 'INTEGER',
'name': 'Line_Item_Id',
'mode': 'NULLABLE'
}, {
'type': 'STRING',
'name': 'Line_Item_Type',
'mode': 'NULLABLE'
}, {
'type': 'INTEGER',
'name': 'Impressions',
'mode': 'NULLABLE'
}, {
'type': 'STRING',
'name': 'Segment1',
'mode': 'NULLABLE'
}, {
'type': 'STRING',
'name': 'Segment2',
'mode': 'NULLABLE'
}, {
'type': 'STRING',
'name': 'Segment3',
'mode': 'NULLABLE'
}]
sheet_rows = sheets_read(
'user', project.task['sheet'], 'DV3 Segments', a1_notation, retries=10)
if not sheet_rows:
sheet_rows = []
print('DV360 SEGMENT SHEET TABLE WRITE')
rows_to_table(
auth='service',
project_id=project.id,
dataset_id=project.task['dataset'],
table_id=DV360_CUSTOM_SEGMENTS_SHEET_TABLE,
rows=sheet_rows,
schema=schema,
skip_rows=1,
disposition='WRITE_TRUNCATE')
# Run Query
if project.verbose:
print('RUN DV360 Custom Segments Query')
run_query_from_file(Queries.dv360_custom_segments, DV360_CUSTOM_SEGMENTS_TABLE)
# Move Table back to sheets
query = 'SELECT * from `' + project.id + '.' + project.task[
'dataset'] + '.' + DV360_CUSTOM_SEGMENTS_TABLE + '`'
rows = query_to_rows(
'service', project.id, project.task['dataset'], query, legacy=False)
# makes sure types are correct in sheet
a1_notation = a1_notation[:1] + '2' + a1_notation[1:]
rows = rows_to_type(rows)
sheets_clear('user', project.task['sheet'], 'DV3 Segments', a1_notation)
sheets_write('user', project.task['sheet'], 'DV3 Segments', a1_notation, rows)
def create_dv360_segments(project):
a1_notation = 'A:M'
schema = [{
"type": "STRING",
"name": "Advertiser",
"mode": "NULLABLE"
}, {
"type": "INTEGER",
"name": "Advertiser_Id",
"mode": "NULLABLE"
}, {
"type": "STRING",
"name": "Campaign",
"mode": "NULLABLE"
}, {
"type": "INTEGER",
"name": "Campaign_Id",
"mode": "NULLABLE"
}, {
"type": "STRING",
"name": "Insertion_Order",
"mode": "NULLABLE"
}, {
"type": "INTEGER",
"name": "Insertion_Order_Id",
"mode": "NULLABLE"
}, {
"type": "STRING",
"name": "Line_Item",
"mode": "NULLABLE"
}, {
"type": "INTEGER",
"name": "Line_Item_Id",
"mode": "NULLABLE"
}, {
"type": "STRING",
"name": "Line_Item_Type",
"mode": "NULLABLE"
}, {
"type": "INTEGER",
"name": "Impressions",
"mode": "NULLABLE"
}, {
"type": "STRING",
"name": "Segment1",
"mode": "NULLABLE"
}, {
"type": "STRING",
"name": "Segment2",
"mode": "NULLABLE"
}, {
"type": "STRING",
"name": "Segment3",
"mode": "NULLABLE"
}]
sheet_rows = sheets_read('user',
project.task['sheet'],
'DV3 Segments',
a1_notation,
retries=10)
if not sheet_rows:
sheet_rows = []
print('DV360 SEGMENT SHEET TABLE WRITE')
rows_to_table(auth='service',
project_id=project.id,
dataset_id=project.task['dataset'],
table_id=DV360_CUSTOM_SEGMENTS_SHEET_TABLE,
rows=sheet_rows,
schema=schema,
skip_rows=1,
disposition='WRITE_TRUNCATE')
# Run Query
path = os.path.join(os.path.dirname(__file__),
SQL_DIRECTORY + DV360_CUSTOM_SEGMENTS_FILENAME)
query = ''
with open(path, 'r') as file:
data = file.read().replace('\n', ' ')
query = data.replace("{{project_id}}",
project.id).replace("{{dataset}}",
project.task['dataset'])
print('DV360 CUSTOM SEGMENT TABLE')
query_to_table('service',
project.id,
project.task['dataset'],
DV360_CUSTOM_SEGMENTS_TABLE,
query,
legacy=False)
# Move Table back to sheets
query = 'SELECT * from `' + project.id + '.' + project.task[
'dataset'] + '.' + DV360_CUSTOM_SEGMENTS_TABLE + '`'
rows = query_to_rows('service',
project.id,
project.task['dataset'],
query,
legacy=False)
# makes sure types are correct in sheet
a1_notation = a1_notation[:1] + '2' + a1_notation[1:]
rows = rows_to_type(rows)
sheets_clear('user', project.task['sheet'], 'DV3 Segments', a1_notation)
sheets_write('user', project.task['sheet'], 'DV3 Segments', a1_notation,
rows)
