def save_video(config, task, out, clip):
# write to user defined local file
if out.get('file'):
clip.write_videofile(
out['file'], codec='libx264', audio_codec='aac',
logger=None) # logger needed or fmmpeg writes to stderr
# for storage, write to temporary file ( no alternative with moviepy ), then upload
if out.get('storage', {}).get('file'):
temporary_file_name = '/tmp/%s_%s' % (uuid.uuid1(),
out['storage']['file'])
clip.write_videofile(
temporary_file_name,
codec='libx264',
audio_codec='aac',
logger=None) # logger needed or fmmpeg writes to stderr
with open(temporary_file_name, 'rb') as temporary_file:
object_put(config,
task['auth'],
'%s:%s' %
(out['storage']['bucket'], out['storage']['file']),
temporary_file,
mimetype=mimetypes.guess_type(out['storage']['file'],
strict=False)[0])
os.remove(temporary_file_name)
if out.get('dcm'):
print('DCM not implemented yet.')
# for youtube, write to temporary file ( no alternative with moviepy ), then upload
if out.get('youtube', {}).get('title'):
temporary_file_name = '/tmp/%s_%s' % (uuid.uuid1(),
out['storage']['file'])
clip.write_videofile(
temporary_file_name,
codec='libx264',
audio_codec='aac',
logger=None) # logger needed or fmmpeg writes to stderr
body = {
'snippet': {
'title': out['youtube']['title'],
'description': out['youtube']['description'],
'tags': out['youtube']['tags'],
'categoryId': out['youtube']['category']
},
'status': {
'privacyStatus': out['youtube']['privacy']
}
}
try:
API_YouTube(config, task['auth']).videos().insert(
part=','.join(body.keys()),
body=body,
media_body=MediaFileUpload(temporary_file_name,
chunksize=CHUNKSIZE,
resumable=True)).upload()
finally:
os.remove(temporary_file_name)
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 put_rows(auth, destination, rows, 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":{
"dataset": [ string ],
"table": [ string ]
"schema": [ json - standard bigquery schema json ],
"skip_rows": [ integer - for removing header ]
"disposition": [ string - same as BigQuery documentation ]
},
"sheets":{
"sheet":[ string - full URL, suggest using share link ],
"tab":[ string ],
"range":[ string - A1:A notation ]
"delete": [ boolean - if sheet range should be cleared before writing
]
},
"storage":{
"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.
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 single_cell is False: Returns a list of row values [[v1], [v2], ... ]
If single_cell is True: Returns a list of values [v1, v2, ...]
"""
if 'bigquery' in destination:
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,
destination['bigquery'].get('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,
destination['bigquery'].get('schema', []),
destination['bigquery'].get(
'skip_rows',
1), #0 if 'schema' in destination['bigquery'] else 1),
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,
destination['bigquery'].get('schema', []),
destination['bigquery'].get(
'skip_rows',
1), #0 if 'schema' in destination['bigquery'] else 1),
destination['bigquery'].get('disposition', 'WRITE_TRUNCATE'),
)
if 'sheets' in destination:
if destination['sheets'].get('delete', False):
sheets_clear(
auth,
destination['sheets']['sheet'],
destination['sheets']['tab'] + variant,
destination['sheets']['range'],
)
sheets_write(auth, destination['sheets']['sheet'],
destination['sheets']['tab'] + variant,
destination['sheets']['range'], rows)
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'):
# create the bucket
bucket_create(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 put_rows(auth, destination, filename, rows, 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":{
"dataset": [ string ],
"table": [ string ]
"schema": [ json - standard bigquery schema json ],
"skip_rows": [ integer - for removing header ]
"disposition": [ string - same as BigQuery documentation ]
},
"sheets":{
"url":[ string - full URL, suggest using share link ],
"tab":[ string ],
"range":[ string - A1:A notation ]
"delete": [ boolean - if sheet range should be cleared before writing ]
},
"storage":{
"bucket": [ string ],
"path": [ string ]
},
"directory":[ 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.
destination: (json) A json block resembling var_json described above.
filename: (string) A unique filename if writing to medium requiring one, Usually gnerated by script.
rows ( list ) The data being written as a list object.
variant ( string ) Appends this to the destination name to create a variant ( for example when downloading multiple tabs in a sheet ).
Returns:
If single_cell is False: Returns a list of row values [[v1], [v2], ... ]
If single_cell is True: Returns a list of values [v1, v2, ...]
"""
if 'bigquery' in destination:
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,
destination['bigquery'].get('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,
destination['bigquery'].get('schema', []),
destination['bigquery'].get(
'skip_rows',
1), #0 if 'schema' in destination['bigquery'] else 1),
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,
destination['bigquery'].get('schema', []),
destination['bigquery'].get(
'skip_rows',
1), #0 if 'schema' in destination['bigquery'] else 1),
destination['bigquery'].get('disposition', 'WRITE_TRUNCATE'),
)
if 'sheets' in destination:
if destination['sheets'].get('delete', False):
sheets_clear(auth, destination['sheets']['sheet'],
destination['sheets']['tab'] + variant,
destination['sheets']['range'])
sheets_write(auth, destination['sheets']['sheet'],
destination['sheets']['tab'] + variant,
destination['sheets']['range'], rows)
if 'directory' in destination:
file_out = destination['directory'] + variant + filename
if project.verbose: print 'SAVING', file_out
makedirs_safe(parse_path(file_out))
with open(file_out, 'wb') 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'):
# create the bucket
bucket_create(auth, project.id, destination['storage']['bucket'])
# put the file
file_out = destination['storage']['bucket'] + ':' + destination[
'storage']['path'] + variant + filename
if project.verbose: print 'SAVING', file_out
object_put(auth, file_out, rows_to_csv(rows))
# deprecated do not use
if 'trix' in destination:
trix_update(auth, destination['trix']['sheet_id'],
destination['trix']['sheet_range'], rows_to_csv(rows),
destination['trix']['clear'])
if 'email' in destination:
pass
if 'sftp' in destination:
try:
sys.stderr = StringIO()
cnopts = pysftp.CnOpts()
cnopts.hostkeys = None
file_prefix = 'report'
if 'file_prefix' in destination['sftp']:
file_prefix = destination['sftp'].get('file_prefix')
del destination['sftp']['file_prefix']
#sftp_configs = destination['sftp']
#sftp_configs['cnopts'] = cnopts
#sftp = pysftp.Connection(**sftp_configs)
sftp = pysftp.Connection(host=destination['sftp']['host'],
username=destination['sftp']['username'],
password=destination['sftp']['password'],
port=destination['sftp']['port'],
cnopts=cnopts)
if 'directory' in destination['sftp']:
sftp.cwd(destination['sftp']['directory'])
tmp_file_name = '/tmp/%s_%s.csv' % (
file_prefix,
datetime.datetime.now().strftime('%Y-%m-%dT%H-%M-%S'))
tmp_file = open(tmp_file_name, 'wb')
tmp_file.write(rows_to_csv(rows).read())
tmp_file.close()
sftp.put(tmp_file_name)
os.remove(tmp_file_name)
sys.stderr = sys.__stderr__
except e:
print e
traceback.print_exc()
def put_rows(config, 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)
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 config.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(
config,
destination['bigquery'].get('auth', auth),
destination['bigquery'].get('project_id', config.project),
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(
config,
destination['bigquery'].get('auth', auth),
destination['bigquery'].get('project_id', config.project),
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=config.project)
else:
rows_to_table(
config,
destination['bigquery'].get('auth', auth),
destination['bigquery'].get('project_id', config.project),
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(
config,
destination['sheets'].get('auth', auth),
destination['sheets']['sheet'],
destination['sheets']['tab'] + variant,
destination['sheets']['range'],
)
sheets_write(
config,
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 config.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(
config,
destination['storage'].get('auth', auth),
config.project,
destination['storage']['bucket']
)
# put the file
file_out = destination['storage']['bucket'] + ':' + destination['storage'][
'path'] + variant
if config.verbose:
print('SAVING', file_out)
object_put(config, 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()
