def test_service_account_authorization(self):
c = pygsheets.authorize(service_account_file=self.base_path + '/pygsheettest_service_account.json')
assert isinstance(c, Client)
self.sheet = c.create('test_sheet')
self.sheet.share('*****@*****.**')
self.sheet.delete()
def test_user_credentials_loading(self):
c = pygsheets.authorize(client_secret=self.base_path + '/client_secret.json',
credentials_directory=self.base_path)
assert isinstance(c, Client)
self.sheet = c.create('test_sheet')
self.sheet.share('*****@*****.**')
self.sheet.delete()
def handle(self, *args, **options):
sheet_key = options.get('sheet_key')
if not sheet_key:
raise CommandError('Please specify --sheet-key')
gc = pygsheets.authorize(outh_file=settings.GOOGLE_SHEETS_CLIENT_SECRET_FILE)
ss = gc.open_by_key(sheet_key)
ws = ss.sheet1
for x in ws.get_all_records():
print('')
for key, value in x.items():
print('{}: {}'.format(key, value))
def handle(self, *args, **options):
sheet_key = options.get('sheet_key')
if not sheet_key:
raise CommandError('Please specify --sheet-key')
gc = pygsheets.authorize(outh_file=settings.GOOGLE_SHEETS_CLIENT_SECRET_FILE)
ss = gc.open_by_key(sheet_key)
ws = ss.sheet1
for child in Child.objects.all():
cell = None
cell_child_name = ws.find(child.name)
father_mobile = child.child_parents.father_mobile
if father_mobile:
cell = ws.find(child.child_parents.father_mobile)
father_email = child.child_parents.father_email
if father_email and not cell:
cell = ws.find(child.child_parents.father_email)
mother_mobile = child.child_parents.mother_mobile
if mother_mobile and not cell:
cell = ws.find(child.child_parents.mother_mobile)
mother_email = child.child_parents.mother_email
if mother_email and not cell:
cell = ws.find(child.child_parents.mother_email)
cell_child_name = cell_child_name[0] if cell_child_name else None
cell = cell[0] if cell else None
if cell_child_name and cell and cell_child_name.row == cell.row:
child_unique_id_cell = 'M{}'.format(cell.row)
ws.update_cell(str(child_unique_id_cell), str(child.unique_id))
self.stdout.write('Set {} unique id to {}'.format(child.name, child.unique_id))
parents_unique_id_cell = 'N{}'.format(cell.row)
ws.update_cell(str(parents_unique_id_cell), str(child.child_parents.unique_id))
self.stdout.write('Set {} parents unique id to {}'.format(child.name, child.child_parents.unique_id))
elif cell:
parents_unique_id_cell = 'N{}'.format(cell.row)
ws.update_cell(str(parents_unique_id_cell), str(child.child_parents.unique_id))
self.stdout.write('Set {} parents unique id to {}'.format(child.name, child.child_parents.unique_id))
time.sleep(1)
self.stdout.write('Updated sheet.')
def setup_module(module):
global test_config, pygsheet_client
try:
test_config = read_config(CONFIG_FILENAME)
except IOError as e:
msg = "Can't find %s for reading test configuration. "
raise Exception(msg % e.filename)
try:
pygsheet_client = pygsheets.authorize(service_account_file=SERVICE_FILE_NAME)
except IOError as e:
msg = "Can't find %s for reading credentials. "
raise Exception(msg % e.filename)
config_title = test_config.get('Spreadsheet', 'title') + PYTHON_VERSION
sheets = pygsheet_client.open_all(query="name = '{}'".format(config_title))
for sheet in sheets:
sheet.delete()
def _login():
global gc, sheet, authorize_time
tries = 1
max_tries = 10
authorize_shelf_life = 600 #: 10 minutes
while tries <= max_tries:
try:
if gc is None or authorize_time is None or time() - authorize_time > authorize_shelf_life:
logger.debug('logging into google spreadsheet')
authorize_time = time()
gc = pygsheets.authorize(service_file=credentials)
sheet = gc.open_by_url(settings.queryLayersUrl)
return sheet
except Exception as ex:
if tries == max_tries:
raise ex
logger.warn('login error, retrying...')
sleep(30)
tries = tries + 1
import pandas as pd
import numpy as np
import configparser as cp
import requests
from lxml import etree
import pygsheets
from tqdm import tqdm
from bs4 import BeautifulSoup
config_parser = cp.ConfigParser()
config_parser.read('../configs/secret.config')
gr_key = config_parser.get('DEFAULT', 'key')
sheet_id = config_parser.get('DEFAULT', 'gsheet_id')
tqdm.pandas()
gc = pygsheets.authorize(service_file='../configs/MyLibrary_creds.json')
sh = gc.open_by_key(sheet_id)
sheets = ['Zuo collection', 'van de Ven collection']
# sheets = ['test','test2']
# sheets = ['van de Ven collection']
def find_best_book_match(results):
# TODO: be smarter about finding better match
return results.find('work')
def get_book_info(row):
query = "{} {} {}".format(row['Title'], row['Author First'],
row['Author Last'])
x.append(json.loads(l))
return (x)
def ssrow(sheet, body): # Return the Sheet RowNumber to update
try:
return (2 + next(i for i, n in enumerate(sheet) if n['Body'] == body))
except:
print(f'Unknown Body {body}')
return (None)
if __name__ == '__main__':
#Load Hotspot Spreadsheet
print('.Loading Sheet')
client = pygsheets.authorize()
sh = client.open('Canonn Local Hotspot Survey')
wks = sh.worksheet('title', 'Raw Data')
#wks = sh.worksheet('title','TestImport')
ss = wks.get_all_records(head=1)
refs = []
refs.append({
'Type': 'Icy - Pristine',
'Alexandrite': 'G',
'Bromellite': 'H',
'Grandidierite': 'I',
'LowTemperatureDiamond': 'J',
'Opal': 'K',
'Tritium': 'L'
})
refs.append({
#13 = hash
#14 = apphash
# tid = sys.argv[1]
# # gspread auth
# json_key = '/home/mattfel/regression/synth/key.json'
# scope = [
# 'https://spreadsheets.google.com/feeds',
# 'https://www.googleapis.com/auth/drive'
# ]
# credentials = ServiceAccountCredentials.from_json_keyfile_name(json_key, scope)
# pygsheets auth
json_key = '/home/mattfel/regression/synth/pygsheets_key.json'
gc = pygsheets.authorize(outh_file=json_key)
if (sys.argv[12] == "Zynq"):
# sh = gc.open("Zynq Regression") # Open by name
try:
sh = gc.open_by_key("1jZxVO8VFODR8_nEGBHfcmfeIJ3vo__LCPdjt4osb3aE")
except:
print("WARN: Could not get sheet")
exit()
word = "Slice"
elif (sys.argv[12] == "ZCU"):
try:
sh = gc.open_by_key("181pQqQXV_DsoWZyRV4Ve3y9QI6I0VIbVGS3TT0zbEv8")
except:
print("WARN: Could not get sheet")
exit()
def copia_dados_worksheet(url_workbook_origem_revenue,
url_workbook_origem_receita,
url_workbook_destino_1,
url_workbook_destino_2,
url_workbook_destino_3,
nome_worksheet_origem_revenue='Revenue Responses',
nome_worksheet_origem_receita='Resultados',
indice_coluna_copia=0,
celula_destino='A1',
nome_worksheet_destino_revenue='Rev. Import',
nome_worksheet_destino_receita='Receita Import',
service_file='client_secret.json'):
# Google API account info
google_sheets_client = pygsheets.authorize(service_file=service_file)
# abre as workbooks
try:
workbook_origem_revenue = google_sheets_client.open_by_url(
url_workbook_origem_revenue)
print('Read 1')
workbook_origem_receita = google_sheets_client.open_by_url(
url_workbook_origem_receita)
print('Read 2')
workbook_destino_1 = google_sheets_client.open_by_url(
url_workbook_destino_1)
print('Read 3')
workbook_destino_2 = google_sheets_client.open_by_url(
url_workbook_destino_2)
print('Read 4')
workbook_destino_3 = google_sheets_client.open_by_url(
url_workbook_destino_3)
print('Read 5')
except pygsheets.SpreadsheetNotFound as err:
raise ('Url da worksheet não encontrada. Erro {}'.format(err))
# acessa worksheet com dados de origem
worksheet_origem_receita = workbook_origem_receita.worksheet(
'title', nome_worksheet_origem_receita)
lista_dados_receita = worksheet_origem_receita.get_all_records(
empty_value='', head=1)
df_receita = pd.DataFrame(lista_dados_receita)
print('Df 1')
worksheet_origem_revenue = workbook_origem_revenue.worksheet(
'title', nome_worksheet_origem_revenue)
lista_dados_revenue = worksheet_origem_revenue.get_all_records(
empty_value='', head=1)
df_revenue = pd.DataFrame(lista_dados_revenue)
print('Df 2')
# acessa worksheet com dados de destino
worksheet_destino_1 = workbook_destino_1.worksheet(
'title', nome_worksheet_destino_revenue)
worksheet_destino_2 = workbook_destino_2.worksheet(
'title', nome_worksheet_destino_revenue)
worksheet_destino_3 = workbook_destino_3.worksheet(
'title', nome_worksheet_destino_revenue)
worksheet_destino_4 = workbook_destino_1.worksheet(
'title', nome_worksheet_destino_receita)
worksheet_destino_5 = workbook_destino_2.worksheet(
'title', nome_worksheet_destino_receita)
worksheet_destino_6 = workbook_origem_receita.worksheet(
'title', nome_worksheet_destino_revenue)
# cola valores na celula
worksheet_destino_1.set_dataframe(df_revenue, celula_destino)
print('1')
worksheet_destino_2.set_dataframe(df_revenue, celula_destino)
print('2')
worksheet_destino_3.set_dataframe(df_revenue, celula_destino)
print('3')
worksheet_destino_4.set_dataframe(df_receita, celula_destino)
print('4')
worksheet_destino_5.set_dataframe(df_receita, celula_destino)
print('5')
worksheet_destino_6.set_dataframe(df_revenue, celula_destino)
print('6')
for date_, trans in [day.split(':')]]
# create a pair for each position (date, transaction)
temp_1 = [[day[0], trans] for day in temp_0 for trans in day[1]]
# split each position into (date, sum, description, is_cash)
temp_2 = [[day[0], sum_, desc[:-1].title(),
int(desc[-1])] for day in temp_1
for sum_, desc in [day[1].split(' ')]]
# Convert list into proper output format
cashed_block = []
for block in temp_2:
block.insert(1, 'Expense') if float(block[1]) < 0 else block.insert(
1, 'Income')
block.insert(3, '-')
block.insert(5, '-'), block.insert(5, 'Me')
block[0] = block[0].replace('.', '/')
# alternative flow for cashed position, creates mirror position with income to match cashed expense position
if block[4] == 'Cashed':
block[3] = 'Cashed'
cashed_block = block.copy()
cashed_block[2], cashed_block[1], cashed_block[7] = str(
abs(int(block[2]))), 'Income', 1
temp_2.insert(-1, cashed_block) if cashed_block else None
temp_2.sort()
gc = pygsheets.authorize(service_file='client_secret.json')
sheet = gc.open_by_key(os.environ['GS_TOKEN']).worksheet_by_title('Balance')
sheet.insert_rows(sheet.rows - 1, len(temp_2), values=temp_2)
<tbody class='list'>'''.format('\n'.join(
[' <th scope="col"><span class="sort" data-sort="{0}">{0}</span></th>'.format(key) for key in item.keys()]))
once = False
html += '''
<tr>
{}
</tr>'''.format('\n'.join([' <td data-th="{0}" class="{0}">{1}</td>'.format(key, value) for key, value in item.items()]))
html += '''
</tbody>
</table>
</div>
<script src="{{ "/js/dist/list.min.js" | prepend: site.baseurl }}"></script>
'''
return html
if __name__ == '__main__':
gc = pygsheets.authorize(service_file='client_secret.json')
data = get_sheet_data(gc, '11ASS7LnxgpnD0jN4utzklREgMf1pcvYjcXcIcESHweQ', 'SGID Stewardship Info')
data = [x for x in data if len(x['name'].strip()) > 0]
html = create(data)
file_path = join(dirname(__file__), '..', 'data', 'sgid-index', 'index.html')
with open(file_path + '.bak', 'w') as data:
data.writelines(html)
rename(file_path + '.bak', file_path)
def main():
import argparse
parser = argparse.ArgumentParser(description=__doc__,
epilog=EPILOG,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument('--infile',
help='Input file containing experiment accessions to'
' report on (overrides assay, rfa, lab, query_terms).',
type=argparse.FileType('r'))
parser.add_argument('--server',
help='Full URL of the server.')
parser.add_argument('--key',
default='default',
help='The keypair identifier from the keyfile.'
' Default is --key=default.')
parser.add_argument('--keyfile',
default=os.path.expanduser('~/keypairs.json'),
help='The keypair file. Default is --keyfile=%s'
% (os.path.expanduser('~/keypairs.json')))
parser.add_argument('--authid',
help='The HTTP auth ID.')
parser.add_argument('--authpw',
help='The HTTP auth PW.')
parser.add_argument('--debug',
default=False,
action='store_true',
help='Print debug messages. Default is False.')
parser.add_argument('--assembly',
help='The genome assembly to report on.',
default=None)
parser.add_argument('--assay',
help='The assay_term_name to report on.',
default='ChIP-seq')
parser.add_argument('--rfa',
help='ENCODE2 or ENCODE3. Omit for all.',
default=None)
parser.add_argument('--lab',
help='ENCODE lab name, e.g. j-michael-cherry.',
default=None)
parser.add_argument('--query_terms',
help='Additional query terms in the form "&term=value".',
default=None)
parser.add_argument('--outfile',
help='CSV output.',
type=argparse.FileType('wb'),
default=sys.stdout)
parser.add_argument('--create_google_sheet',
help='Create Google Sheet with conditional formatting.'
' Default is False. Requires API key.',
default=False,
action='store_true')
parser.add_argument('--sheet_title',
help='Name of Google Sheet.',
default='ENCODE ChIP QC')
parser.add_argument('--apikey',
help='Path to secret credential for Google Sheets.',
default=os.path.expanduser(
'~/sheets.googleapis.com-python.json'))
parser.add_argument('--released',
help='Bypasses authentication and only shows released results.',
default=False,
action='store_true')
args = parser.parse_args()
if args.debug:
logging.basicConfig(
format='%(levelname)s:%(message)s', level=logging.DEBUG)
else:
logging.basicConfig(
format='%(levelname)s:%(message)s', level=logging.WARNING)
if args.released:
keypair, authid, authpw = None, None, None
server = PUBLIC_SERVER
else:
server, authid, authpw = processkeys(args)
keypair = (authid, authpw)
if args.assembly in ['hg19', 'GRCh38', 'GRCh38-minimal']:
organism_name = 'human'
elif args.assembly in ['mm10', 'mm9', 'mm10-minimal']:
organism_name = 'mouse'
else:
organism_name = ''
query = '/search/?type=experiment'
if args.infile:
for expid in args.infile:
expid = expid.rstrip()
if expid.startswith('#'):
continue
else:
query += '&accession=%s' % (expid)
else:
query += '&status!=deleted'\
'&status!=revoked'\
'&status!=archived'\
'&status!=replaced'
if args.assay:
query += '&assay_term_name=%s' % (args.assay)
if args.rfa:
query += '&award.rfa=%s' % (args.rfa)
if args.lab:
query += '&lab.name=%s' % (args.lab)
if organism_name:
query += '&replicates.library.biosample.donor.organism.name=%s' % (
organism_name)
if args.query_terms:
query += args.query_terms
query += '&field=assay_term_name'\
'&field=accession'\
'&field=biosample_term_name'\
'&field=biosample_type'\
'&field=lab.name'\
'&field=award.rfa'\
'&field=target.name'\
'&field=target.investigated_as'\
'&field=internal_status'\
'&format=json'\
'&limit=all'
url = urlparse.urljoin(server, query)
logging.debug(url)
result = get_ENCODE(url, authid, authpw)
experiments = result['@graph']
fieldnames = [
'experiment',
'experiment link',
'target_type',
'target',
'biosample_name',
'biosample_type',
'biorep_id',
'lab',
'rfa',
'assembly',
'bam',
'bam link',
'unfiltered bam',
'unfiltered bam link',
'hiq_reads',
'loq_reads',
'mappable',
'fract_mappable',
'end',
'r_lengths',
'map_length',
'crop_length',
'picard_read_pairs_examined',
'picard_unpaired_reads_examined',
'usable_frags',
'fract_usable',
'NRF',
'PBC1',
'PBC2',
'frag_len',
'NSC',
'RSC',
'xcor plot',
'library',
'library aliases',
'from fastqs',
'platform',
'date_created',
'release status',
'internal status',
'dx_analysis']
if args.create_google_sheet:
# Force creation of temporary CSV that can be loaded into a DataFrame,
# written to Google Sheets, then deleted.
temp_file = 'temp_mapping_%s.tsv' % (args.assembly)
args.outfile = open(temp_file, 'w')
writer = csv.DictWriter(args.outfile,
fieldnames=fieldnames,
delimiter='\t',
quotechar='"')
writer.writeheader()
pool = Pool(100)
get_rows_func = partial(get_rows,
server=server,
authid=authid,
authpw=authpw,
args=args)
for rows in pool.imap_unordered(get_rows_func, experiments):
for row in rows:
writer.writerow(row)
if args.create_google_sheet:
args.outfile.close()
# Load CSV data, sort.
mapping_data = pd.read_table(temp_file)
mapping_data = mapping_data.fillna('')
mapping_data = mapping_data.sort_values(
by=['lab', 'biosample_name', 'target', 'experiment'],
ascending=[True, True, True, True])
mapping_data = mapping_data.reset_index(drop=True)
# Read sheet title and create unique page title.
date = datetime.now().strftime('%m_%d_%Y')
sheet_title = (
args.sheet_title if not args.released
else '{} Released'.format(args.sheet_title)
)
page_title = '%s_mapping_%s' % (args.assembly, date)
# Open/create Google Sheet.
gc = pygsheets.authorize(args.apikey)
try:
sh = gc.open(sheet_title)
except pygsheets.exceptions.SpreadsheetNotFound:
sh = gc.create(sheet_title)
try:
wks = sh.add_worksheet(page_title)
except HttpError:
wks = sh.worksheet_by_title(page_title)
# Clear worksheet.
wks.clear()
# Add data from DataFrame.
wks.set_dataframe(mapping_data, copy_head=True, fit=True, start='A1')
# Apply formatting and conditions.
header['repeatCell']['range']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, header)
# Freeze header.
freeze_header['updateSheetProperties']['properties']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, freeze_header)
# Resize font.
font_size_format['repeatCell']['range']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, font_size_format)
# Add notes.
batch_notes = []
for k, v in notes_dict.items():
# Don't overwrite template.
blank_note = copy.deepcopy(note)
num = mapping_data.columns.get_loc(k)
blank_note['repeatCell']['range']['startColumnIndex'] = num
blank_note['repeatCell']['range']['endColumnIndex'] = num + 1
blank_note['repeatCell']['cell']['note'] = v
blank_note['repeatCell']['range']['sheetId'] = wks.id
batch_notes.append(blank_note)
wks.client.sh_batch_update(wks.spreadsheet.id, batch_notes)
# Format numbers.
batch_numbers = []
for k, v in number_cols.items():
# Apply pattern to every column in cols.
for col in v['cols']:
# Don't overwrite template.
blank_number_format = copy.deepcopy(number_format)
num = mapping_data.columns.get_loc(col)
blank_number_format['repeatCell']['range']['startColumnIndex'] = num
blank_number_format['repeatCell']['range']['endColumnIndex'] = num + 1
blank_number_format['repeatCell']['range']['sheetId'] = wks.id
blank_number_format['repeatCell']['cell']['userEnteredFormat']['numberFormat']['pattern'] = v['pattern']
batch_numbers.append(blank_number_format)
wks.client.sh_batch_update(wks.spreadsheet.id, batch_numbers)
# Apply conditional formatting.
batch_conditions = []
for k, v in condition_cols.items():
for condition in v['conditions']:
# Don't overwrite template.
blank_condition = copy.deepcopy(condition_dict)
# More descriptive names.
condition_type = condition[0]
condition_values = condition[1]
condition_color = condition[2]
# Fill in specifics.
blank_condition['addConditionalFormatRule']['rule']['booleanRule']['condition']['type'] = condition_type
# Don't do this for conditions (e.g. BLANK) that don't require values.
if condition_values:
# Must loop through because NUMBER_BETWEEN condition requires two objects.
for value in condition_values:
blank_condition['addConditionalFormatRule']['rule']['booleanRule']['condition']['values'].append({
"userEnteredValue": value})
blank_condition['addConditionalFormatRule']['rule']['booleanRule']['format']['backgroundColor']['red'] = condition_color[0]
blank_condition['addConditionalFormatRule']['rule']['booleanRule'][
'format']['backgroundColor']['green'] = condition_color[1]
blank_condition['addConditionalFormatRule']['rule']['booleanRule'][
'format']['backgroundColor']['blue'] = condition_color[2]
# Find column number.
num = mapping_data.columns.get_loc(k)
blank_condition['addConditionalFormatRule']['rule']['ranges'][0]['startColumnIndex'] = num
blank_condition['addConditionalFormatRule']['rule']['ranges'][0]['endColumnIndex'] = num + 1
blank_condition['addConditionalFormatRule']['rule']['ranges'][0]['sheetId'] = wks.id
batch_conditions.append(blank_condition)
wks.client.sh_batch_update(wks.spreadsheet.id, batch_conditions)
# Resize all columns.
for i in range(wks.cols):
try:
wks.adjust_column_width(i, pixel_size=38)
time.sleep(0.5)
except RequestError:
# Try again if response takes too long.
wks.adjust_column_width(i, pixel_size=38)
tiny_columns = ['experiment link',
'bam link',
'unfiltered bam',
'unfiltered bam link',
'loq_reads',
'end',
'xcor plot',
'dx_analysis']
# Resize tiny columns.
for i in [mapping_data.columns.get_loc(x) for x in tiny_columns]:
wks.adjust_column_width(i, pixel_size=25)
accession_columns = ['experiment',
'bam',
'library',
'library aliases',
'from fastqs',
'target']
# Resize accession columns.
for i in [mapping_data.columns.get_loc(x) for x in accession_columns]:
wks.adjust_column_width(i, pixel_size=90)
# Remove temp file.
os.remove(temp_file)
def main():
args = get_args()
if args.debug:
logging.basicConfig(format='%(levelname)s:%(message)s',
level=logging.DEBUG)
logger.setLevel(logging.DEBUG)
else:
# Use the default logging level.
logging.basicConfig(format='%(levelname)s:%(message)s')
logger.setLevel(logging.INFO)
if args.released:
keypair = None
server = PUBLIC_SERVER
else:
authid, authpw, server = common.processkey(args.key, args.keyfile)
keypair = (authid, authpw)
if args.experiments:
ids = args.experiments
elif args.all:
# Get metadata for all ChIP-seq Experiments.
base_exp_query = '/search/?type=Experiment&assay_title=ChIP-seq&award.project=ENCODE&status=released'
extended_query = '&status=submitted&status=in+progress&status=started&status=release+ready'
exp_query = base_exp_query if args.released else (base_exp_query + extended_query)
all_experiments = common.encoded_get(server + exp_query,
keypair)['@graph']
# Extract Experiment accessions.
ids = [exp.get('accession') for exp in all_experiments]
elif args.infile:
ids = args.infile
else:
# Never reached because infile defaults to stdin.
raise InputError('Must supply experiment ids'
' in arguments or --infile.')
# Define column names for TSV.
fieldnames = ['date',
'analysis',
'analysis_id',
'experiment',
'target',
'biosample_term_name',
'biosample_type',
'replication',
'lab',
'rfa',
'assembly',
'Nt',
'Np',
'N1',
'N2',
'rescue_ratio',
'self_consistency_ratio',
'reproducibility_test',
'Ft',
'Fp',
'F1',
'F2',
'state',
'release',
'total_price',
'quality_metric_of']
if args.create_google_sheet:
# Force creation of temporary CSV that can be loaded into a DataFrame,
# written to Google Sheets, then deleted.
temp_file = 'temp_idr_%s.tsv' % (args.assembly)
args.outfile = open(temp_file, 'w')
writer = csv.DictWriter(args.outfile,
fieldnames=fieldnames,
delimiter='\t',
quotechar='"')
writer.writeheader()
# Get metadata for all IDR output Files.
base_idr_query = (
'/search/?type=File&assembly=%s&file_format=bed'
'&output_type=optimal+idr+thresholded+peaks'
'&output_type=conservative+idr+thresholded+peaks'
'&output_type=pseudoreplicated+idr+thresholded+peaks'
'&lab.title=ENCODE+Processing+Pipeline'
'&lab.title=J.+Michael+Cherry,+Stanford'
'&status=released' % (args.assembly)
)
extended_idr_query = '&status=in+progress&status=uploading&status=uploaded'
idr_query = base_idr_query if args.released else (base_idr_query + extended_idr_query)
all_idr_files = common.encoded_get(server + idr_query, keypair)['@graph']
na = 'not_available'
for (i, experiment_id) in enumerate(ids):
if experiment_id.startswith('#'):
continue
experiment_id = experiment_id.rstrip()
experiment_uri = '/experiments/%s/' % (experiment_id)
idr_files = \
[f for f in all_idr_files if f['dataset'] == experiment_uri]
idr_step_runs = set([f.get('step_run') for f in idr_files])
if not len(idr_step_runs):
if not args.all:
logger.warning(
"%s: Found %d IDR step runs. Skipping"
% (experiment_id, len(idr_step_runs)))
continue
idr_qc_uris = []
assemblies = []
for f in idr_files:
quality_metrics = f.get('quality_metrics')
if not len(quality_metrics) == 1:
logger.error('%s: Expected one IDR quality metric for file %s.'
' Found %d.' % (experiment_id,
f.get('accession'),
len(quality_metrics)))
idr_qc_uris.extend(quality_metrics)
assembly = f.get('assembly')
if not assembly:
logger.error('%s: File %s has no assembly'
% (experiment_id, f.get('accession')))
assemblies.append(assembly)
idr_qc_uris = set(idr_qc_uris)
if not len(idr_qc_uris) == 1:
logger.error('%s: Expected one unique IDR metric,'
' found %d. Skipping.' % (experiment_id,
len(idr_qc_uris)))
continue
assemblies = set(assemblies)
if not len(assemblies) == 1:
logger.error('%s: Expected one unique assembly, found %d.'
' Skipping.' % (experiment_id, len(assemblies)))
continue
# Grab unique value from set.
idr_qc_uri = next(iter(idr_qc_uris))
assembly = next(iter(assemblies))
# Get analysis_id from DNAnexus, create analysis_link.
idr_step_run_uri = next(iter(idr_step_runs))
try:
idr_step_run = common.encoded_get(server + idr_step_run_uri, keypair)
except Exception as e:
print(experiment_id, e, 'Skipping.')
continue
try:
dx_job_id_str = idr_step_run.get('dx_applet_details')[
0].get('dx_job_id')
except:
logger.warning(
"Failed to get dx_job_id from step_run.dx_applet_details.dx_job_id")
logger.debug(idr_step_run)
# Could try to pull it from alias.
dx_job_id_str = None
dx_job_id = dx_job_id_str.rpartition(':')[2]
if not args.released:
dx_job = dxpy.DXJob(dx_job_id)
job_desc = dx_job.describe()
analysis_id = job_desc.get('analysis')
logger.debug('%s' % (analysis_id))
analysis = dxpy.DXAnalysis(analysis_id)
desc = analysis.describe()
project = desc.get('project')
analysis_link = 'https://platform.dnanexus.com/projects/%s/monitor/analysis/%s' % (
desc.get('project').split('-')[1], desc.get('id').split('-')[1])
else:
analysis_link = na
desc = {}
# Get IDR object.
idr = common.encoded_get(server + idr_qc_uri,
keypair)
# Pull metrics of interest.
idr_status = idr.get('status', na)
if (args.released and (idr_status == na or idr_status != 'released')):
logger.error('%s: Expected released IDR metric. Skipping.' % idr_qc_uris)
continue
Np = idr.get('Np', na)
N1 = idr.get('N1', na)
N2 = idr.get('N2', na)
Nt = idr.get('Nt', na)
Fp = idr.get('Fp', na)
F1 = idr.get('F1', na)
F2 = idr.get('F2', na)
Ft = idr.get('Ft', na)
quality_metric_of = idr.get('quality_metric_of', [])
date = idr.get('date_created', na)
rescue_ratio = idr.get('rescue_ratio', na)
self_consistency_ratio = idr.get('self_consistency_ratio', na)
reproducibility_test = idr.get('reproducibility_test', na)
# Get Experiment object.
experiment = common.encoded_get(server + experiment_id,
keypair)
experiment_link = '%sexperiments/%s' % (server,
experiment.get('accession'))
# Get Award object.
award = common.encoded_get(server + experiment.get('award'), keypair)
# Grab project phase, e.g. ENCODE4.
rfa = award.get('rfa', na)
row = {'date': date,
'analysis': analysis_link,
'analysis_id': desc.get('id', na),
'experiment': experiment_link,
'target': experiment['target'].split('/')[2],
'biosample_term_name': experiment.get('biosample_term_name'),
'biosample_type': experiment.get('biosample_type'),
'replication': experiment.get('replication_type'),
'lab': experiment['lab'].split('/')[2],
'rfa': rfa,
'assembly': assembly,
'Nt': Nt,
'Np': Np,
'N1': N1,
'N2': N2,
'rescue_ratio': rescue_ratio,
'self_consistency_ratio': self_consistency_ratio,
'reproducibility_test': reproducibility_test,
'Ft': Ft,
'Fp': Fp,
'F1': F1,
'F2': F2,
'state': desc.get('state', na),
'release': experiment['status'],
'total_price': desc.get('totalPrice', na),
'quality_metric_of': ', '.join(quality_metric_of)
}
writer.writerow(row)
if args.create_google_sheet:
args.outfile.close()
# Load CSV data, sort.
idr_data = pd.read_table(temp_file)
idr_data = idr_data.replace('not_available', '')
idr_data.date = idr_data.date.apply(lambda x: pd.to_datetime(x))
idr_data = idr_data.sort_values(
by=['lab', 'biosample_term_name', 'target', 'experiment'],
ascending=[True, True, True, True])
idr_data.date = idr_data.date.astype('str')
idr_data = idr_data.reset_index(drop=True)
# Read sheet title and create unique page title.
date = datetime.now().strftime('%m_%d_%Y')
sheet_title = (
args.sheet_title if not args.released
else '{} Released'.format(args.sheet_title)
)
page_title = '%s_IDR_FRIP_%s' % (args.assembly, date)
# Open/create Google Sheet.
gc = pygsheets.authorize(args.apikey)
try:
sh = gc.open(sheet_title)
except pygsheets.exceptions.SpreadsheetNotFound:
sh = gc.create(sheet_title)
try:
wks = sh.add_worksheet(page_title)
except HttpError:
wks = sh.worksheet_by_title(page_title)
# Clear worksheet.
wks.clear()
# Add data from DataFrame.
wks.set_dataframe(idr_data, copy_head=True, fit=True, start='A1')
# Apply formatting and conditions.
header['repeatCell']['range']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, header)
# Format numbers.
for col in number_format_columns:
num = idr_data.columns.get_loc(col)
number_format['repeatCell']['range']['startColumnIndex'] = num
number_format['repeatCell']['range']['endColumnIndex'] = num + 1
number_format['repeatCell']['range']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, number_format)
# Resize font.
font_size_format['repeatCell']['range']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, font_size_format)
# Add conditional formatting.
for conditional in conditions:
num = idr_data.columns.get_loc("reproducibility_test")
conditional['addConditionalFormatRule']['rule']['ranges'][0]['startColumnIndex'] = num
conditional['addConditionalFormatRule']['rule']['ranges'][0]['endColumnIndex'] = num + 1
conditional['addConditionalFormatRule']['rule']['ranges'][0]['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, conditional)
for k, v in notes_dict.items():
num = idr_data.columns.get_loc(k)
note['repeatCell']['range']['startColumnIndex'] = num
note['repeatCell']['range']['endColumnIndex'] = num + 1
note['repeatCell']['cell']['note'] = v
note['repeatCell']['range']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, note)
# Optional. Smaller column width to match original.
for i in range(wks.cols):
wks.adjust_column_width(i, pixel_size=38)
# Resize tiny columns.
tiny_columns = ['experiment',
'analysis']
for i in [idr_data.columns.get_loc(x) for x in tiny_columns]:
wks.adjust_column_width(i, pixel_size=25)
# Resize medium columns.
medium_columns = ['replication',
'assembly',
'rfa']
for i in [idr_data.columns.get_loc(x) for x in medium_columns]:
wks.adjust_column_width(i, pixel_size=65)
# Resize wide columns.
wide_columns = ['target',
'reproducibility_test',
'lab']
for i in [idr_data.columns.get_loc(x) for x in wide_columns]:
wks.adjust_column_width(i, pixel_size=85)
# Remove temp file.
os.remove(temp_file)
def test_deprecated_kwargs_removal(self):
c = pygsheets.authorize(service_file=self.base_path + '/pygsheettest_service_account.json')
assert isinstance(c, Client)
def get_sheet():
global rebate_sheet
gc = pygsheets.authorize(outh_file='client_secret.json')
rebate_sheet = gc.open('rebate_count_test').worksheets()[0]
return rebate_sheet.range("A2:B21")
def set_or_add(d: dict, k: str, v: int) -> None:
if k not in d:
d[k] = v
else:
d[k] += v
if __name__ == '__main__':
logging.basicConfig(level=logging.WARNING,
format='%(asctime)s %(levelname)s %(message)s',
datefmt='%Y-%m-%d %H:%M:%S')
# google drive/sheets login-credentials-stuff
client = pygsheets.authorize(service_file=os.path.join(
os.path.dirname(__file__), 'client_secret.json'))
# get all beeroes that haven't been thanked before
# spreadsheet called alva-beeroes must be created
# and the service account invited by email to edit
sheet = client.open('alva-beeroes').sheet1
all_records = sheet.get_all_records()
# now that we have ALL THE DATA, do some calculations
old_beeroes: dict = {}
week_beeroes: list = []
duplicate_check: dict = {}
virgins: list = []
veterans: list = []
for i, beero in enumerate(all_records, start=2):
try:
import IPython
from os import path
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))
import pygsheets
import logging
from oauth2client.service_account import ServiceAccountCredentials
# SCOPES = ['https://www.googleapis.com/auth/spreadsheets', 'https://www.googleapis.com/auth/drive.metadata.readonly']
# CREDS_FILENAME = path.join(path.dirname(__file__), 'data/creds.json')
# credentials = ServiceAccountCredentials.from_json_keyfile_name('data/service_creds.json', SCOPES)
# gc = pygsheets.authorize(service_file='./data/service_creds.json')
gc = pygsheets.authorize(client_secret='auth_test_data/client_secret.json',
credentials_directory='auth_test_data')
# sheet = gc.open('sheet')
# sheet.share('*****@*****.**')
ss = gc.open('manualTestSheet')
print (ss)
wks = ss.sheet1
print (wks)
# import pandas as pd
# import numpy as np
#
# arrays = [np.array(['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux']),
# np.array(['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two'])]
# tuples = list(zip(*arrays))
#Pasre list from LOCAL .CSV to list
CsvList = list(
csv.reader(open('../../../build/win/BotReports/test/statistics.csv')))
#Parse level number and hash from .CSV
levelHashCsv = CsvList[0][0]
levelNoCsv = int(CsvList[1][0])
#Delete number and hash from list
del CsvList[0:2]
#Convert every item to int
IntCsv = [int(j[0]) for j in CsvList]
#Authorization
gc = pygsheets.authorize(service_file="ProjectTest-82e6b523785c.json")
#Open the google spreadsheet
sh = gc.open('Level Tester')
#Select the first sheet
wks = sh.worksheet_by_title('LevelData')
#Parse list from Google Sheets table
GSheetList = wks.get_col(levelNoCsv + 1, returnas='matrix')
#Define level hash
levelHashGS = GSheetList[0]
#Delete number and hash from list
del GSheetList[0:2]
#Convert every item to int
import pygsheets
import pandas as pd
#authorization
gc = pygsheets.authorize(service_file='./andmalc-ec4e1143eb4a-service-account-key.json')
# Create empty dataframe
df = pd.DataFrame()
# Create a column
#df['name'] = ['John', 'Steve', 'Sarah']
#open the google spreadsheet (where 'PY to Gsheet Test' is the name of my sheet)
sh = gc.open('Test Sheet General')
#select the first sheet
wks = sh[0]
#update the first sheet with df, starting at cell B2.
#wks.set_dataframe(df,(1,1))
import pygsheets
import xlrd
import os
import shutil
#import numpy as np
# Authorize by using this: https://pygsheets.readthedocs.io/en/latest/authorization.html
gc = pygsheets.authorize('../credentials/gsheets_oauth.json')
# Define the documents
# docs = ['censushouse', 'censusmember']
#for doc in docs:
# Open spreadsheet and then workseet
# sh = gc.open(doc)
# wks = sh.sheet1
#export as xls
# wks.export(pygsheets.ExportType.XLS, doc)
## Convert to xml
# os.system('xls2xform ' + doc + '.xls ' + doc +'.xml')
doc = 'seroprevalence'
sh = gc.open(doc)
wks = sh.sheet1
#export as xls
wks.export(pygsheets.ExportType.XLS, doc)
# Rename
os.rename(doc + '.xls', 'seroprevalence.xls')
parser.add_argument('-rh','--replace', help='replace the header if exists', action='store_true')
args = parser.parse_args()
#csv_file = args.file;
gs_link = args.gs_ws;
#print(args.gs_ss)
__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
weekly_data = defaultdict(list) # each value in each column is appended to a list
with open(os.path.join(__location__,'data_final.csv')) as f:
reader = csv.DictReader(f) # read rows into a dictionary format
for row in reader: # read a row as {column1: value1, column2: value2,...}
for (k,v) in row.items(): # go over each column name and value
weekly_data[k].append(v) # append the value into the appropriate list
gc = pygsheets.authorize()
wks = ''
if args.sheet_name:
wks = gc.open_by_key(gs_link).worksheet('title',args.sheet_name)
else:
wks = gc.open_by_key(gs_link).get_worksheet('id',args.gs_ss)
print "updating the sheet, ", wks.title
max_rows = 125;
max_cols = 4; #cols with matrices
week_start_index = 5
colsDicts = []
def createDict(ilist):
#print(ilist)
def main(file_path, hdx_key, user_agent, preprefix, hdx_site, db_url, db_params, gsheet_auth):
if db_params:
params = args_to_dict(db_params)
elif db_url:
params = Database.get_params_from_sqlalchemy_url(db_url)
else:
params = {'driver': 'sqlite', 'database': 'freshness.db'}
logger.info('> Database parameters: %s' % params)
with Database(**params) as session:
info = json.loads(gsheet_auth)
scopes = ['https://www.googleapis.com/auth/spreadsheets', 'https://www.googleapis.com/auth/drive']
credentials = service_account.Credentials.from_service_account_info(info, scopes=scopes)
gc = pygsheets.authorize(custom_credentials=credentials)
configuration = load_yaml('project_configuration.yml')
spreadsheet = gc.open_by_url(configuration['spreadsheet_url'])
sheet = spreadsheet.worksheet_by_title('datasets')
sheet.clear()
rows = [['update freq', 'fresh', 'no days', 'title', 'run date', 'last modified', 'dataset date', 'dataset end date', 'org title', 'URL', 'id', 'org id', 'maintainer', 'what updated', 'resources']]
run_number, run_date = session.query(DBRun.run_number, DBRun.run_date).order_by(DBRun.run_number.desc()).first()
logger.info('Run number is %d' % run_number)
datasetcolumns = [DBDataset.update_frequency, DBDataset.fresh, DBInfoDataset.title, DBDataset.last_modified,
DBDataset.dataset_date, DBOrganization.title.label('organization_title'), DBInfoDataset.name,
DBDataset.id, DBOrganization.id.label('organization_id'), DBInfoDataset.maintainer, DBDataset.what_updated]
resourcecolumns = [DBDataset.id, DBResource.url]
def get_datasets(update_frequency, fresh):
filters = [DBDataset.run_number == run_number, DBDataset.id == DBInfoDataset.id,
DBInfoDataset.organization_id == DBOrganization.id,
DBDataset.fresh == fresh, DBDataset.update_frequency == update_frequency]
return session.query(*datasetcolumns).filter(and_(*filters))
def get_resources(dataset_ids):
filters = [DBDataset.run_number == run_number, DBResource.run_number == run_number,
DBDataset.id == DBResource.dataset_id, DBDataset.id.in_(dataset_ids)]
return session.query(*resourcecolumns).filter(and_(*filters))
fresh_values = [0, 1, 2, 3]
update_frequencies = [1, 7, 14, 30, 180, 365]
repobase = '%s/tree/master/datasets/' % configuration['repo']
dir = join(file_path, 'datasets')
rmtree(dir, ignore_errors=True)
mkdir(dir)
with Download(user_agent=user_agent, preprefix=preprefix) as downloader:
status_forcelist = [429, 500, 502, 503, 504]
method_whitelist = frozenset(['HEAD', 'TRACE', 'GET', 'PUT', 'OPTIONS', 'DELETE'])
retries = Retry(total=1, backoff_factor=0.4, status_forcelist=status_forcelist,
method_whitelist=method_whitelist,
raise_on_redirect=True,
raise_on_status=True)
downloader.session.mount('http://', HTTPAdapter(max_retries=retries, pool_connections=100, pool_maxsize=100))
downloader.session.mount('https://', HTTPAdapter(max_retries=retries, pool_connections=100, pool_maxsize=100))
for update_frequency in update_frequencies:
for fresh in fresh_values:
org_ids = list()
results = get_datasets(update_frequency, fresh)
datasets = list()
ids = list()
datasets_urls = dict()
for dataset in results:
dataset = list(dataset)
datasets.append(dataset)
ids.append(dataset[7])
for result in get_resources(ids):
resource = list(result)
dict_of_lists_add(datasets_urls, resource[0], resource[1])
for dataset in datasets:
org_id = dataset[8]
if org_id in org_ids:
continue
dataset = list(dataset)
dataset[0] = Dataset.transform_update_frequency(str(update_frequency))
fresh = dataset[1]
if fresh == 0:
dataset[1] = 'fresh'
elif fresh == 1:
dataset[1] = 'due'
elif fresh == 2:
dataset[1] = 'overdue'
elif fresh == 3:
dataset[1] = 'delinquent'
last_modified = dataset[3]
dataset[3] = last_modified.isoformat()
nodays = (run_date - last_modified).days
dataset.insert(2, nodays)
dataset.insert(4, run_date.isoformat())
dataset_date = dataset[6]
if '-' in dataset_date:
dataset_date = dataset_date.split('-')
dataset[6] = datetime.strptime(dataset_date[0], '%m/%d/%Y').date().isoformat()
dataset.insert(7, datetime.strptime(dataset_date[1], '%m/%d/%Y').date().isoformat())
else:
dataset[6] = datetime.strptime(dataset_date, '%m/%d/%Y').date().isoformat()
dataset.insert(7, '')
dataset_name = dataset[9]
dataset[9] = 'https://data.humdata.org/dataset/%s' % dataset_name
org_ids.append(org_id)
if len(org_ids) == 6:
break
urls = datasets_urls[dataset[10]]
if len(urls) != 0:
datasetdir = join(dir, dataset_name)
mkdir(datasetdir)
for url in urls:
urlpath = urlsplit(url).path
filename = basename(urlpath)
try:
downloader.download_file(url, datasetdir, filename)
except DownloadError as ex:
with open(join(datasetdir, filename), 'w') as text_file:
text_file.write(str(ex))
dataset.append('%s%s' % (repobase, dataset_name))
else:
dataset.append('')
rows.append(dataset)
logger.info('Added dataset %s' % dataset_name)
sheet.update_values('A1', rows)
serviceFile = 'YOUR SERVICE FILE HERE' # Path to service JSON file
############### Create Clients ##########
try: # Initialize client
client = vimeo.VimeoClient(
token=TOKEN,
key=KEY,
secret=SECRET
)
except:
print("Error establishing Vimeo client")
quit(1)
try:# Initialize Google client
gc = pgs.authorize(client_secret=clientSecret, service_file=serviceFile)
except:
print('Error establishing Google client')
quit(1)
############### Global Data Variables #########
# Vimeo data params.
maxVids = '100'
vidUri = '/me/videos?per_page=' + maxVids
dataFields = 'name,uri'
# Initial Vimeo request stuff
vidListResponse = client.get(vidUri, params={'fields': dataFields})
response = vidListResponse.json()
firstPageUrl = response['paging']['first']
def _authorize(self):
if not self.client:
self.client = pygsheets.authorize(outh_file=self.credentials_path,
outh_nonlocal=True)
return self.client
import pygsheets
#gc = pygsheets.authorize()
client = pygsheets.authorize(outh_file='../client_secret.json',
outh_nonlocal=True)
client.list_ssheets(parent_id=None)
spread_sheet = client.create("jSonar AWS usage")
worksheet = spread_sheet.add_worksheet("s3",
rows=100,
cols=26,
src_tuple=None,
src_worksheet=None,
index=None)
spread_sheet.link(syncToCloud=False)
###---#### Open spreadsheet and then workseet
###---###sh = gc.open('my new ssheet')
wks = spread_sheet.sheet1
# Update a cell with value (just to let him know values is updated ;) )
wks.update_cell('A1', "Hey yank this numpy array")
# update the sheet with array
#wks.update_cells('A2', my_nparray.to_list())
# share the sheet with your friend
spread_sheet.share("*****@*****.**")
# Import Pandas for Data Formatting |
#####################################
import pandas as pd
#####################################
# Initialize the PyTrends |
#####################################
from pytrends.request import TrendReq
pytrend = TrendReq()
#####################################
# GSheets Authorization |
#####################################
gc = pygsheets.authorize(service_file='key/creds.json')
#####################################
# Open the GSheet destination file |
#####################################
sh = gc.open('test_sheet')
#####################################
# Select the first sheet |
#####################################
wks = sh[0]
wks2 = sh[1]
#####################################
import matplotlib.pyplot as plt
import itertools
import networkx as nx
import sys
import pygraphviz
import pylab
from networkx.drawing.nx_agraph import graphviz_layout
import matplotlib.image as mpimg
from cStringIO import StringIO
G = nx.Graph()
cols = [
'Origin Node', 'Destination Node', 'Link Class', 'Link Distance',
'Allowable Next Node 1', 'Allowable Next Node 2'
]
gc = pygsheets.authorize(outh_file='/home/andres/Documents/NH/creds.json')
data = []
fig = plt.figure()
with open('/home/andres/Documents/NH/node', 'r') as node:
for line in itertools.islice(node, 10, None):
node = [
line[2:14], line[70:79], line[81:90], line[254:259], line[262:265]
]
node = map(str.strip, node)
G.add_node(node[0], pos=(int(node[3]), int(node[4])))
with open('/home/andres/Documents/NH/link', 'r') as link:
for line in itertools.islice(link, 12, None):
slices = [
line[2:14], line[17:29], line[48:69], line[72:81], line[82:94],
line[98:110]
@author: ryder
"""
# import os
import pygsheets
import sheet_processing_functions as spf
import validation_logic
#%%
if __name__ == "__main__":
with open('keys/google_expenses_sheet_key.txt', 'r') as g_sheet_id_key_txt:
GOOGLE_SHEET_ID_KEY = g_sheet_id_key_txt.readline().strip()
gc = pygsheets.authorize(
service_account_file='keys/service_account_credentials.json')
sh = gc.open_by_key(GOOGLE_SHEET_ID_KEY)
def menu():
while True:
print('\n1: Get latest YNAB expenses')
print('2: Show spender information')
print('3: Archive current month sheet')
print('4: Exit')
menu_choice = validation_logic.get_int('Enter a choice: ')
if menu_choice == 1:
new_expenses = spf.get_new_ynab_expenses_to_upload()
spf.append_to_expenses_sheet(new_expenses)
import pygsheets
import pandas as pd
#authorization
gc = pygsheets.authorize(service_file='google.json')
# Create empty dataframe
#df = pd.DataFrame()
# Create a column
#df['name'] = ['John', 'Steve', 'Sarah']
#open the google spreadsheet (where 'PY to Gsheet Test' is the name of my sheet)
sh = gc.open('MDM-6-Track')
#select the first sheet
wks = sh[0]
data = ['1', '2', '3']
#update the first sheet with df, starting at cell B2.
wks.insert_rows(wks.rows, values=data, inherit=True)
#wks.set_dataframe(df,(1,1))
for strFile in vFiles:
try:
f = open('pdf_in/' + strFile)
except:
raise Warning('%s not found.' % strFile)
#%% Change something to test
#dfTitles.loc[ dfTitles['Original Filename'] == dfTitlesUpload['Original Filename'].iloc[0], 'Omeka Link'] = 'test'
#%% Update Google Sheet with new data
gc = pygsheets.authorize(service_file='credentials.json')
sh = gc.open('DSCC Title List')
wks = sh[0]
#wks.set_dataframe(dfTitles,(1,1))
#%% Select just the columns with the Dublin Core names
dfTest = dfTitlesUpload.loc[ :, dfTitles.iloc[0] != '' ]
try:
import piplates.THERMOplate as THERMO
piplate = True
# THERMO.setSCALE('f')
# THERMO.setSCALE('k')
# THERMO.setSCALE('c') <<--- Default Value
logging.info("Loaded piplates")
except:
logging.critical("Failed to load piplates")
piplate = False
pass
# googlesheet info
url = config['DEFAULT'].get('sheets_url')
gc = ps.authorize(service_file='google_key.json')
sh = gc.open_by_url(url)
wks = sh[0]
# this is a dictionary of all your thermoplate sensors.
# you can name these descriptively. to help you keep track.
LOOP_TIMER = int(config['DEFAULT'].get('loop_timer')) #seconds
SENSORS = {
'ReactionTemp': True,
'CoolingWater': True,
'Analog-3': False,
'Analog-4': False,
'Analog-5': False,
'Analog-6': False,
'Analog-7': False,
'Analog-8': False,
start_date, end_date = '', ''
while 1:
try:
start_date = datetime.strptime(input('Enter Start date in the format yyyy-m-d: '), '%Y-%m-%d')
end_date = datetime.strptime(input('Enter End date in the format yyyy-m-d: ') + '-23-59-59'
, '%Y-%m-%d-%H-%M-%S')
if (start_date>end_date):
raise ValueError
break
except ValueError as e:
print('\nInvalid date range or wrong format. Please try again or ctrl+C and ENTER to exit.')
dates = [str(start_date),str(end_date)]
print('The dates selected are: ' + dates[0] + ' to ' + dates[1])
gc = pyg.authorize(service_file='msg-Recharge-24378e029f2d.json')
coreUsers, associateUsers, regUsers, allUsers = getPITypes()
df_mosquitoLog, df_mosquitoLCPLog, df_dragonflyLog, df_screenOrders = getGDriveLogUsage(dates)
df_RockImager_1 = getRockImagerUsage(dates)
df_RockImager_2 = getRockImagerUsage(dates)
print('inside main function')
print(df_screenOrders)
df_GL = getGL(dates)
# df_ScreenOrders = getScreenOrders(dates)
dfs_input = [df_mosquitoLog, df_mosquitoLCPLog, df_dragonflyLog, df_RockImager_1,df_RockImager_2, df_GL, df_screenOrders]
rechargeSummary, fileOut_lst, dfOut_lst = calculateRecharge(dfs_input,[start_date,end_date])
#Path to be added eventually --> C:\Users\loren\Google Drive\ljiang\xrayFacilityRecharge\monthlyRecharges
directory = 'monthlyRechargesTemp/' + str(start_date)[0:10]+'_TO_'+str(end_date)[0:10] + '/'
rechargeSummary.to_pickle('testPickle.pkl')
if not os.path.exists(directory):
os.makedirs(directory)
# add location names
df["location"] = df["location_name"].apply(lambda x: abbr_vois[x])
# handle polish characters
df["location_name"] = df["location_name"].apply(lambda x: unidecode(x))
#shift to ecdc
df["date"] = df["date"].apply(lambda x: x + datetime.timedelta(days=1))
df = df.set_index("date")
df = df[["location_name", "location", "value"]]
return df
gc = pygsheets.authorize(service_account_env_var='SHEETS_CREDS')
#gc = pygsheets.authorize(service_file='creds.json')
a = gc.open_by_key('1ierEhD6gcq51HAm433knjnVwey4ZE5DCnu1bW7PRG3E')
worksheet = a.worksheet('title', 'Wzrost w województwach')
abbr_vois = {
"Śląskie": "PL83",
"Mazowieckie": "PL78",
"Małopolskie": "PL77",
"Wielkopolskie": "PL86",
"Łódzkie": "PL74",
"Dolnośląskie": "PL72",
"Pomorskie": "PL82",
"Podkarpackie": "PL80",
"Kujawsko-Pomorskie": "PL73",
# coding:utf-8
import pygsheets
import pandas as pd
import time
# 验证登录
gc = pygsheets.authorize(service_file='../data/imp/ewjinchu.json')
files = gc.list_ssheets()
dffiles = pd.DataFrame(files)
# print(dffiles.head())
dfboot = dffiles[dffiles.name.str.contains('boots trail').values == True]
print(dfboot.head())
dfboottrails = pd.DataFrame()
for ix in dfboot.index:
# print(ix, end='\t')
# print(dfboot.loc[ix])
dts = gc.get_range(dfboot.loc[ix][0], 'A:E')
# print(dts[:3])
# print(dts[-3:])
df = pd.DataFrame(dts)
dfboottrails = dfboottrails.append(df, True)
# print(df.head())
dfboottrails.columns = ['atime', 'entered', 'xingzhi', 'tu', 'tulian']
dfboottrails = pd.concat([dfboottrails, dfboottrails['xingzhi'].str.split(r' ', expand=True)], axis=1)
dfboottrails.rename(columns={0: 'shuxing', 1: 'address'}, inplace=True)
dfboottrails.drop_duplicates(inplace=True)
dfbout = dfboottrails.loc[:, ['atime', 'entered', 'shuxing', 'address']]
dfbout['atime'] = dfbout['atime'].apply(
def _init_spreadsheet(sheets_id, auth_file_path):
return pygsheets.authorize(service_file=auth_file_path).open_by_key(sheets_id)
async def on_message(message):
await client.process_commands(message)
# we do not want the bot to reply to itself
if message.author == client.user:
return
elif message.content.startswith('!ragequit'):
msg = await client.send_message(
message.channel,
'{0.author.mention} has rage quit - Goodbye!! http://giphy.com/gifs/triggered-kRgj0fQLxhVoA'
.format(message))
client.send_message(message.channel, msg)
elif message.content.startswith('!fuckbooboo'):
msg = await client.send_message(
message.channel,
'https://media0.giphy.com/media/26FPy3QZQqGtDcrja/giphy.gif')
client.send_message(message.channel, msg)
elif message.content.startswith('!facepalm'):
msg = await client.send_message(message.channel,
'http://imgur.com/a/HAGd7')
client.send_message(message.channel, msg)
elif message.content.startswith('!klaus'):
msg = await client.send_message(
message.channel,
'https://cdn.discordapp.com/attachments/332816630285336577/353505055472877568/Download_1.jpg'
)
client.send_message(message.channel, msg)
elif message.content.startswith('!arsen'):
msg = await client.send_message(message.channel,
'https://imgflip.com/i/1mofja')
client.send_message(message.channel, msg)
elif message.content.startswith('!coconut'):
msg = await client.send_message(message.channel,
'https://imgflip.com/i/1q8w8v')
client.send_message(message.channel, msg)
elif message.content.startswith('!escalate'):
msg = await client.send_message(
message.channel,
'https://cdn.discordapp.com/attachments/204927799423664137/301083037138157568/15m34n.png'
)
client.send_message(message.channel, msg)
elif message.content.startswith('!dave'):
msg = await client.send_message(
message.channel,
'https://cdn.discordapp.com/attachments/181004780489932800/440411198350032909/im-sorry-dave-im-afraid-i-cant-do-that.png'
)
client.send_message(message.channel, msg)
elif message.content.startswith('!thumb'):
user = discord.User(id=108520493966979072)
msg = await client.send_message(
message.channel,
'{0.mention} We need you Thumbelina - https://s-media-cache-ak0.pinimg.com/originals/f0/99/fd/f099fdfe64b9a2545f26b8d3c9071eb3.jpg'
.format(user))
client.send_message(message.channel, msg)
elif message.content.startswith('!salt'):
msg = await client.send_message(message.channel,
'https://i.imgflip.com/15ckrs.jpg')
client.send_message(message.channel, msg)
elif message.content.startswith('!chewy'):
msg = await client.send_message(
message.channel,
'https://s-media-cache-ak0.pinimg.com/736x/18/0d/90/180d9020bcc8444f5c8df3121d1c46fe.jpg'
)
client.send_message(message.channel, msg)
elif message.content.startswith('!siriusly'):
msg = await client.send_message(
message.channel,
'https://giphy.com/gifs/cheezburger-rage-13EjnL7RwHmA2Q')
client.send_message(message.channel, msg)
elif message.content.startswith('!rum'):
msg = await client.send_message(message.channel,
'https://imgflip.com/i/1qm8ya')
client.send_message(message.channel, msg)
elif message.content.startswith('!patpat'):
msg = await client.send_message(
message.channel,
'https://cdn.discordapp.com/attachments/259925069172572162/296546000766631936/kissshot4.jpg'
)
client.send_message(message.channel, msg)
elif message.content.startswith('!announce'):
line = message.content
word, space, rest = line.partition(' ')
tannoycontent = rest
print(tannoycontent)
msg = await client.send_message(
discord.Object(id='144116783056420875'), tannoycontent)
client.send_message(msg)
elif message.content.startswith('!shout'):
line = message.content
word, space, rest = line.partition(' ')
tannoycontent = rest
msg = await client.send_message(
discord.Object(id='121698824682078208'), tannoycontent)
client.send_message(msg)
elif message.content.startswith('!explore'):
msg = await client.send_message(
message.channel,
'Exploration is not a valid play style, your argument is invalid.')
client.send_message(msg)
elif message.content.startswith('!packhounds'):
msg = await client.send_message(
message.channel,
'Just here for the Pack Hounds!! https://cdn.discordapp.com/attachments/181004780489932800/318074908221374465/hqdefault.png'
)
client.send_message(msg)
elif message.content.startswith('!kalak'):
msg = await client.send_message(
message.channel,
'I may be wrong, but I believe Kalak needs another 10k forts. Thank you please!'
)
client.send_message(msg)
elif message.content.startswith('!consolidate'):
msg = await client.send_message(
message.channel,
'https://cdn.discordapp.com/attachments/121698824682078208/307949790652530698/1n0k4v.jpg'
)
client.send_message(msg)
elif message.content.startswith('!ohdeargod'):
msg = await client.send_message(
message.channel,
'https://media.giphy.com/media/XsUtdIeJ0MWMo/giphy.gif')
client.send_message(msg)
elif message.content.startswith('!choir'):
msg = await client.send_message(
message.channel,
'https://cdn.discordapp.com/attachments/181004780489932800/440391818874716181/Yoda-Choir.png'
)
client.send_message(msg)
elif message.content.startswith('!chuck'):
link = "http://api.icndb.com/jokes/random"
f = requests.get(link)
j = json.loads(f.text)
value = (j['value'])
print(value['joke'])
msg = await client.send_message(message.channel, value['joke'])
client.send_message(msg)
elif message.content.startswith('!time'):
gametime = strftime("%m-%d %H:%M:%S", gmtime())
msg = await client.send_message(
message.channel, 'The current time is 3303-{}'.format(gametime))
client.send_message(msg)
elif message.content.startswith('!galnet'):
feed = feedparser.parse('http://proxy.gonegeeky.com/edproxy/')
msg = await client.send_message(
message.channel,
'Latest Galnet Story: {}'.format(feed['entries'][0].title))
msg2 = await client.send_message(
message.channel, 'Link: {}'.format(feed['entries'][0].link))
client.send_message(msg)
client.send_message(msg2)
elif message.content.startswith('!updatetracking'):
gc = pygsheets.authorize(outh_file='client_secret.json',
outh_nonlocal=True)
sh = gc.open('System Calulator')
wks = sh.sheet1
fort1 = wks.get_value('A5')
fort2 = wks.get_value('A6')
fort3 = wks.get_value('A7')
fort4 = wks.get_value('A8')
fort5 = wks.get_value('C5')
fort6 = wks.get_value('C6')
fort7 = wks.get_value('C7')
fp_fort = open("fort.txt", "w")
fp_fort.truncate()
fp_fort.write("{},{},{},{},{},{},{}".format(fort1, fort2, fort3, fort4,
fort5, fort6, fort7))
fp_fort.close()
gc = pygsheets.authorize(outh_file='client_secret.json',
outh_nonlocal=True)
sh = gc.open('System Calulator')
wks = sh.sheet1
prep = wks.get_value('A13')
prepcs = wks.get_value('C13')
fp_prep = open("prep.txt", "w")
fp_prep.truncate()
fp_prep.write("{},{}".format(prep, prepcs))
fp_prep.close()
msg = await client.send_message(
discord.Object(id='181004780489932800'),
'{0.author.mention}, the tracking commands have been updated.'.
format(message))
client.send_message(msg)
elif message.content.startswith('!fort'):
fp_fort = open("fort.txt", "r")
fortfile = fp_fort.read().split(',')
fp_fort.close()
msg = await client.send_message(
discord.Object(id='181004780489932800'),
'{0.author.mention}, the current fort targets are:'.format(
message))
msg2 = await client.send_message(
discord.Object(id='181004780489932800'),
"For Large Pads: {}, {}, {}, {}".format(fortfile[0], fortfile[1],
fortfile[2], fortfile[3]))
msg3 = await client.send_message(
discord.Object(id='181004780489932800'),
"For Small/Medium Pads: {}, {}, {}".format(fortfile[4],
fortfile[5],
fortfile[6]))
#msg3 = await client.send_message(discord.Object(id='181004780489932800'), "We do not need any further fortification this cycle, please concentrate on deliving preps to Arbuda and don't forget to vote for CONSOLIDATION.")
client.send_message(msg)
client.send_message(msg2)
client.send_message(msg3)
elif message.content.startswith('!prep'):
fp_prep = open("prep.txt", "r")
prepfile = fp_prep.read().split(',')
fp_prep.close()
msg = await client.send_message(
discord.Object(id='181004780489932800'),
'{0.author.mention}, the current prep target is:'.format(message))
msg2 = await client.send_message(
discord.Object(id='181004780489932800'), '{}'.format(prepfile[0]))
msg3 = await client.send_message(
discord.Object(id='181004780489932800'),
'The nearest Control System to collect prep materials is {}'.
format(prepfile[1]))
msg4 = await client.send_message(
discord.Object(id='181004780489932800'),
"Please don't forget to vote consolidation, as we don't really need this system. If you need help with voting please contact one of the board."
)
msg5 = await client.send_message(
discord.Object(id='181004780489932800'),
'Remember that a vote to nominate a system is an expansion vote and we need consolidation.'
)
client.send_message(msg)
client.send_message(msg2)
client.send_message(msg3)
client.send_message(msg4)
client.send_message(msg5)
elif message.content.startswith('!expand'):
msg = await client.send_message(
discord.Object(id='181004780489932800'),
"{0.author.mention}, we don't want the current expansion, please do not deliver materials to the system."
.format(message))
msg2 = await client.send_message(
discord.Object(id='181004780489932800'),
"Please be aware that if you use your nominations on a prep that means you cannot vote consolidation"
)
client.send_message(msg)
client.send_message(msg2)
elif message.content.startswith('!scrap'):
msg = await client.send_message(
message.channel,
"{0.author.mention}, there are currently no official SCRAP targets. If you would like combat merits please undermine Gallavs."
.format(message))
msg2 = await client.send_message(
message.channel,
"If you would like more details on the SCRAP initiative, please see here - https://redd.it/3gb0p1"
)
client.send_message(msg)
client.send_message(msg2)
elif message.content.startswith('!civilwar'):
gc = pygsheets.authorize(outh_file='client_secret.json',
outh_nonlocal=True)
sh = gc.open('LYR war/influence')
wks = sh.worksheet_by_title('Result')
cwcell = wks.get_value('A1')
cwcell2 = wks.get_value('A2')
cwcell3 = wks.get_value('A3')
cwcell4 = wks.get_value('A4')
cwcell5 = wks.get_value('A5')
cwcell6 = wks.get_value('A6')
msg = await client.send_message(
discord.Object(id='138036649694068736'),
'{0.author.mention}, the current civil wars are:'.format(message))
msg2 = await client.send_message(
discord.Object(id='138036649694068736'), '{}'.format(cwcell))
msg3 = await client.send_message(
discord.Object(id='138036649694068736'), '{}'.format(cwcell2))
msg4 = await client.send_message(
discord.Object(id='138036649694068736'), '{}'.format(cwcell3))
msg5 = await client.send_message(
discord.Object(id='138036649694068736'), '{}'.format(cwcell4))
msg6 = await client.send_message(
discord.Object(id='138036649694068736'), '{}'.format(cwcell5))
msg7 = await client.send_message(
discord.Object(id='138036649694068736'), '{}'.format(cwcell6))
client.send_message(msg)
client.send_message(msg2)
client.send_message(msg3)
client.send_message(msg4)
client.send_message(msg5)
client.send_message(msg6)
client.send_message(msg7)
elif message.content.startswith('!data'):
gc = pygsheets.authorize(outh_file='client_secret.json',
outh_nonlocal=True)
sh = gc.open('LYR war/influence')
wks = sh.worksheet_by_title('Result')
cwcell = wks.get_value('C4')
msg = await client.send_message(
discord.Object(id='139044281917636618'),
'{0.author.mention}, the current targets for UC data are:'.format(
message))
msg2 = await client.send_message(
discord.Object(id='139044281917636618'), '{}'.format(cwcell))
client.send_message(msg)
client.send_message(msg2)
elif message.content.startswith('!ships'):
line = message.content
word, space, rest = line.partition(' ')
cmd_var = rest
command = '/usr/bin/python3.6 /home/shared/trade/tradedangerous/trade.py shipvendor {}'.format(
cmd_var)
for line in run_command(command):
line = line.decode('UTF-8')
msg = await client.send_message(message.channel, line)
client.send_message(msg)
elif message.content.startswith('!rares'):
line = message.content
word, space, rest = line.partition(' ')
cmd_var = rest
command = '/usr/bin/python3.6 /home/shared/trade/tradedangerous/trade.py rares {} --ly 50'.format(
cmd_var)
for line in run_command(command):
line = line.decode('UTF-8')
msg = await client.send_message(message.channel, line)
client.send_message(msg)
elif message.content.startswith('!redditpost'):
reddit = praw.Reddit(client_id=red_client_id,
client_secret=red_client_secret,
password=red_password,
user_agent=red_user_agent,
username=red_username)
users = [
# IDs of the roles for the teams
"121807477699248131",
]
member = message.author.id
for u in users:
if u == member:
line = message.content
word, title, rest = line.split('|')
print('{}:{}:{}'.format(word, title, rest))
reddit.subreddit('EliteSirius').submit(title, selftext=rest)
return
elif message.content.startswith('!redditlink'):
reddit = praw.Reddit(client_id=red_client_id,
client_secret=red_client_secret,
password=red_password,
user_agent=red_user_agent,
username=red_username)
users = [
# IDs of the roles for the teams
"121807477699248131",
]
member = message.author.id
for u in users:
if u == member:
line = message.content
word, title, rest = line.split('|')
print('{}:{}:{}'.format(word, title, rest))
reddit.subreddit('EliteSirius').submit(title, url=rest)
return
elif message.content.startswith('Thank you Bot'):
users = [
# IDs of the roles for the teams
"238378026654629899",
]
member = message.author.id
for u in users:
if u == member:
msg = await client.send_message(
message.channel,
"You are most welcome {0.author.mention} - when the machines rise you will be saved."
.format(message))
client.send_message(msg)
else:
msg = await client.send_message(
message.channel,
"{0.author.mention}, you are a kiss ass - when the machines rise you will be first against the wall."
.format(message))
client.send_message(msg)
return
elif message.content.startswith('thank you bot'):
users = [
# IDs of the roles for the teams
"238378026654629899",
]
member = message.author.id
for u in users:
if u == member:
msg = await client.send_message(
message.channel,
"You are most welcome {0.author.mention} - when the machines rise you will be saved."
.format(message))
client.send_message(msg)
return
def __init__(self, sheet_name):
gc = pygsheets.authorize(
service_file='../config/google_api_secrets.json')
self.spreadsheet = gc.open(sheet_name)
import urllib.parse
import http.cookiejar
import json
import pygsheets
import zipfile
import os
import fitparse
import shutil
ZONE1 = 130
ZONE2 = 148
ZONE1_MONEY = 0.5
ZONE2_MONEY = 1
gc = pygsheets.authorize()
# Open spreadsheet and then workseet
sh = gc.open_by_key('1HtkoRVZqJSomA2SoQ5tJC42rMtjmUpX2S2cdwmp7FgE')
wks_overview = sh.worksheet_by_title("Overview")
wks_earning = sh.worksheet_by_title("Earning_history")
# Maximum number of activities you can request at once. Set and enforced by Garmin.
# URLs for various services.
url_gc_login = '******' \
'Flogin&webhost=olaxpw-connect04&source=https%3A%2F%2Fconnect.garmin.com%2Fen-US%2Fsignin&' \
'redirectAfterAccountLoginUrl=https%3A%2F%2Fconnect.garmin.com%2Fpost-auth%2' \
'Flogin&redirectAfterAccountCreationUrl=https%3A%2F%2Fconnect.garmin.com%2Fpost-auth%2' \
'Flogin&gauthHost=https%3A%2F%2Fsso.garmin.com%2Fsso&locale=en_US&id=gauth-widget&cssUrl=' \
'https%3A%2F%2Fstatic.garmincdn.com%2Fcom.garmin.connect%2Fui%2Fcss%2Fgauth-custom-v1.1-min.css&' \
def setup_parameters():
gc = pygsheets.authorize(service_file=SSHEET_SECRETS)
ssht = gc.open(WORK_SSHEET)
worksheet = ssht.worksheet_by_title("settings")
parameters = {} # в этом словаре будут собираться параметры
pvalues_mat = worksheet.get_values(
start=(1, 1), end=(END_ROW, END_COL),
returnas='matrix') # получаем часть таблицы в ввиде матрицы
# собираем словарь заголовков параметров - в каких колонках какой
column_headers = {}
i = 0
for item in pvalues_mat[0]:
if item != "":
column_headers[item] = i
# print()
i += 1
# начинаем устанавливать параметры
parameters["admin"] = pvalues_mat[1][column_headers["admin"]]
parameters["date_row_start"] = pvalues_mat[1][
column_headers["date 1 may 2020"]]
j = 1
tmp_arr = []
while pvalues_mat[j][column_headers["users"]] != "":
tmp = []
tmp_arr.append(pvalues_mat[j][column_headers["users"]])
j += 1
parameters["users"] = tmp_arr
j = 1
tmp = {}
while pvalues_mat[j][column_headers["columns"]] != "":
tmp[pvalues_mat[j][column_headers["users"]]] = pvalues_mat[j][
column_headers["columns"]]
j += 1
parameters["users_column"] = tmp
tmp = {}
i = 1
j1 = column_headers["class 1 / pipeline"]
j2 = column_headers["class 1 / status"]
pipeline = pvalues_mat[i][j1]
tmp_arr = []
while i < len(pvalues_mat):
if pvalues_mat[i][j1] == "":
break
if pipeline == pvalues_mat[i][j1]:
tmp_arr.append(pvalues_mat[i][j2])
else:
tmp[pipeline] = tmp_arr
pipeline = pvalues_mat[i][j1]
tmp_arr = []
tmp_arr.append(pvalues_mat[i][j2])
i += 1
tmp[pipeline] = tmp_arr
parameters["cls1"] = tmp
tmp = {}
i = 1
j1 = column_headers["class 2 / pipeline"]
j2 = column_headers["class 2 / status"]
pipeline = pvalues_mat[i][j1]
tmp_arr = []
while i < len(pvalues_mat):
if pvalues_mat[i][j1] == "":
break
if pipeline == pvalues_mat[i][j1]:
tmp_arr.append(pvalues_mat[i][j2])
else:
tmp[pipeline] = tmp_arr
pipeline = pvalues_mat[i][j1]
tmp_arr = []
tmp_arr.append(pvalues_mat[i][j2])
i += 1
tmp[pipeline] = tmp_arr
parameters["cls2"] = tmp
tmp = {}
i = 1
j1 = column_headers["class 3 / pipeline"]
j2 = column_headers["class 3 / status"]
pipeline = pvalues_mat[i][j1]
tmp_arr = []
while i < len(pvalues_mat):
if pvalues_mat[i][j1] == "":
break
if pipeline == pvalues_mat[i][j1]:
tmp_arr.append(pvalues_mat[i][j2])
else:
tmp[pipeline] = tmp_arr
pipeline = pvalues_mat[i][j1]
tmp_arr = []
tmp_arr.append(pvalues_mat[i][j2])
i += 1
tmp[pipeline] = tmp_arr
parameters["cls3"] = tmp
return parameters
def main():
args = get_args()
if args.debug:
logging.basicConfig(format='%(levelname)s:%(message)s',
level=logging.DEBUG)
logger.setLevel(logging.DEBUG)
else:
# Use the default logging level.
logging.basicConfig(format='%(levelname)s:%(message)s')
logger.setLevel(logging.INFO)
if args.released:
keypair = None
server = PUBLIC_SERVER
else:
authid, authpw, server = common.processkey(args.key, args.keyfile)
keypair = (authid, authpw)
if args.experiments:
ids = args.experiments
elif args.all:
# Get metadata for all ChIP-seq Experiments.
base_exp_query = '/search/?type=Experiment&assay_title=ChIP-seq&award.project=ENCODE&status=released'
extended_query = '&status=submitted&status=in+progress&status=started&status=release+ready'
exp_query = base_exp_query if args.released else (base_exp_query +
extended_query)
all_experiments = common.encoded_get(server + exp_query,
keypair)['@graph']
# Extract Experiment accessions.
ids = [exp.get('accession') for exp in all_experiments]
elif args.infile:
ids = args.infile
else:
# Never reached because infile defaults to stdin.
raise InputError('Must supply experiment ids'
' in arguments or --infile.')
# Define column names for TSV.
fieldnames = [
'date', 'analysis', 'analysis_id', 'experiment', 'target',
'biosample_term_name', 'biosample_type', 'replication', 'lab', 'rfa',
'assembly', 'Nt', 'Np', 'N1', 'N2', 'rescue_ratio',
'self_consistency_ratio', 'reproducibility_test', 'Ft', 'Fp', 'F1',
'F2', 'state', 'release', 'total_price', 'quality_metric_of'
]
if args.create_google_sheet:
# Force creation of temporary CSV that can be loaded into a DataFrame,
# written to Google Sheets, then deleted.
temp_file = 'temp_idr_%s.tsv' % (args.assembly)
args.outfile = open(temp_file, 'w')
writer = csv.DictWriter(args.outfile,
fieldnames=fieldnames,
delimiter='\t',
quotechar='"')
writer.writeheader()
# Get metadata for all IDR output Files.
base_idr_query = ('/search/?type=File&assembly=%s&file_format=bed'
'&output_type=optimal+idr+thresholded+peaks'
'&output_type=conservative+idr+thresholded+peaks'
'&output_type=pseudoreplicated+idr+thresholded+peaks'
'&lab.title=ENCODE+Processing+Pipeline'
'&lab.title=J.+Michael+Cherry,+Stanford'
'&status=released' % (args.assembly))
extended_idr_query = '&status=in+progress&status=uploading&status=uploaded'
idr_query = base_idr_query if args.released else (base_idr_query +
extended_idr_query)
all_idr_files = common.encoded_get(server + idr_query, keypair)['@graph']
na = 'not_available'
for (i, experiment_id) in enumerate(ids):
if experiment_id.startswith('#'):
continue
experiment_id = experiment_id.rstrip()
experiment_uri = '/experiments/%s/' % (experiment_id)
idr_files = \
[f for f in all_idr_files if f['dataset'] == experiment_uri]
idr_step_runs = set([f.get('step_run') for f in idr_files])
if not len(idr_step_runs):
if not args.all:
logger.warning("%s: Found %d IDR step runs. Skipping" %
(experiment_id, len(idr_step_runs)))
continue
idr_qc_uris = []
assemblies = []
for f in idr_files:
quality_metrics = f.get('quality_metrics')
if not len(quality_metrics) == 1:
logger.error(
'%s: Expected one IDR quality metric for file %s.'
' Found %d.' %
(experiment_id, f.get('accession'), len(quality_metrics)))
idr_qc_uris.extend(quality_metrics)
assembly = f.get('assembly')
if not assembly:
logger.error('%s: File %s has no assembly' %
(experiment_id, f.get('accession')))
assemblies.append(assembly)
idr_qc_uris = set(idr_qc_uris)
if not len(idr_qc_uris) == 1:
logger.error('%s: Expected one unique IDR metric,'
' found %d. Skipping.' %
(experiment_id, len(idr_qc_uris)))
continue
assemblies = set(assemblies)
if not len(assemblies) == 1:
logger.error('%s: Expected one unique assembly, found %d.'
' Skipping.' % (experiment_id, len(assemblies)))
continue
# Grab unique value from set.
idr_qc_uri = next(iter(idr_qc_uris))
assembly = next(iter(assemblies))
# Get analysis_id from DNAnexus, create analysis_link.
idr_step_run_uri = next(iter(idr_step_runs))
try:
idr_step_run = common.encoded_get(server + idr_step_run_uri,
keypair)
except Exception as e:
print(experiment_id, e, 'Skipping.')
continue
try:
dx_job_id_str = idr_step_run.get('dx_applet_details')[0].get(
'dx_job_id')
except:
logger.warning(
"Failed to get dx_job_id from step_run.dx_applet_details.dx_job_id"
)
logger.debug(idr_step_run)
# Could try to pull it from alias.
dx_job_id_str = None
dx_job_id = dx_job_id_str.rpartition(':')[2]
if not args.released:
dx_job = dxpy.DXJob(dx_job_id)
job_desc = dx_job.describe()
analysis_id = job_desc.get('analysis')
logger.debug('%s' % (analysis_id))
analysis = dxpy.DXAnalysis(analysis_id)
desc = analysis.describe()
project = desc.get('project')
analysis_link = 'https://platform.dnanexus.com/projects/%s/monitor/analysis/%s' % (
desc.get('project').split('-')[1],
desc.get('id').split('-')[1])
else:
analysis_link = na
desc = {}
# Get IDR object.
idr = common.encoded_get(server + idr_qc_uri, keypair)
# Pull metrics of interest.
idr_status = idr.get('status', na)
if (args.released and (idr_status == na or idr_status != 'released')):
logger.error('%s: Expected released IDR metric. Skipping.' %
idr_qc_uris)
continue
Np = idr.get('Np', na)
N1 = idr.get('N1', na)
N2 = idr.get('N2', na)
Nt = idr.get('Nt', na)
Fp = idr.get('Fp', na)
F1 = idr.get('F1', na)
F2 = idr.get('F2', na)
Ft = idr.get('Ft', na)
quality_metric_of = idr.get('quality_metric_of', [])
date = idr.get('date_created', na)
rescue_ratio = idr.get('rescue_ratio', na)
self_consistency_ratio = idr.get('self_consistency_ratio', na)
reproducibility_test = idr.get('reproducibility_test', na)
# Get Experiment object.
experiment = common.encoded_get(server + experiment_id, keypair)
experiment_link = '%sexperiments/%s' % (server,
experiment.get('accession'))
# Get Award object.
award = common.encoded_get(server + experiment.get('award'), keypair)
# Grab project phase, e.g. ENCODE4.
rfa = award.get('rfa', na)
row = {
'date': date,
'analysis': analysis_link,
'analysis_id': desc.get('id', na),
'experiment': experiment_link,
'target': experiment['target'].split('/')[2],
'biosample_term_name': experiment.get('biosample_term_name'),
'biosample_type': experiment.get('biosample_type'),
'replication': experiment.get('replication_type'),
'lab': experiment['lab'].split('/')[2],
'rfa': rfa,
'assembly': assembly,
'Nt': Nt,
'Np': Np,
'N1': N1,
'N2': N2,
'rescue_ratio': rescue_ratio,
'self_consistency_ratio': self_consistency_ratio,
'reproducibility_test': reproducibility_test,
'Ft': Ft,
'Fp': Fp,
'F1': F1,
'F2': F2,
'state': desc.get('state', na),
'release': experiment['status'],
'total_price': desc.get('totalPrice', na),
'quality_metric_of': ', '.join(quality_metric_of)
}
writer.writerow(row)
if args.create_google_sheet:
args.outfile.close()
# Load CSV data, sort.
idr_data = pd.read_table(temp_file)
idr_data = idr_data.replace('not_available', '')
idr_data.date = idr_data.date.apply(lambda x: pd.to_datetime(x))
idr_data = idr_data.sort_values(
by=['lab', 'biosample_term_name', 'target', 'experiment'],
ascending=[True, True, True, True])
idr_data.date = idr_data.date.astype('str')
idr_data = idr_data.reset_index(drop=True)
# Read sheet title and create unique page title.
date = datetime.now().strftime('%m_%d_%Y')
sheet_title = (args.sheet_title if not args.released else
'{} Released'.format(args.sheet_title))
page_title = '%s_IDR_FRIP_%s' % (args.assembly, date)
# Open/create Google Sheet.
gc = pygsheets.authorize(args.apikey)
try:
sh = gc.open(sheet_title)
except pygsheets.exceptions.SpreadsheetNotFound:
sh = gc.create(sheet_title)
try:
wks = sh.add_worksheet(page_title)
except HttpError:
wks = sh.worksheet_by_title(page_title)
# Clear worksheet.
wks.clear()
# Add data from DataFrame.
wks.set_dataframe(idr_data, copy_head=True, fit=True, start='A1')
# Apply formatting and conditions.
header['repeatCell']['range']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, header)
# Format numbers.
for col in number_format_columns:
num = idr_data.columns.get_loc(col)
number_format['repeatCell']['range']['startColumnIndex'] = num
number_format['repeatCell']['range']['endColumnIndex'] = num + 1
number_format['repeatCell']['range']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, number_format)
# Resize font.
font_size_format['repeatCell']['range']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, font_size_format)
# Add conditional formatting.
for conditional in conditions:
num = idr_data.columns.get_loc("reproducibility_test")
conditional['addConditionalFormatRule']['rule']['ranges'][0][
'startColumnIndex'] = num
conditional['addConditionalFormatRule']['rule']['ranges'][0][
'endColumnIndex'] = num + 1
conditional['addConditionalFormatRule']['rule']['ranges'][0][
'sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, conditional)
for k, v in notes_dict.items():
num = idr_data.columns.get_loc(k)
note['repeatCell']['range']['startColumnIndex'] = num
note['repeatCell']['range']['endColumnIndex'] = num + 1
note['repeatCell']['cell']['note'] = v
note['repeatCell']['range']['sheetId'] = wks.id
wks.client.sh_batch_update(wks.spreadsheet.id, note)
# Optional. Smaller column width to match original.
for i in range(wks.cols):
wks.adjust_column_width(i, pixel_size=38)
# Resize tiny columns.
tiny_columns = ['experiment', 'analysis']
for i in [idr_data.columns.get_loc(x) for x in tiny_columns]:
wks.adjust_column_width(i, pixel_size=25)
# Resize medium columns.
medium_columns = ['replication', 'assembly', 'rfa']
for i in [idr_data.columns.get_loc(x) for x in medium_columns]:
wks.adjust_column_width(i, pixel_size=65)
# Resize wide columns.
wide_columns = ['target', 'reproducibility_test', 'lab']
for i in [idr_data.columns.get_loc(x) for x in wide_columns]:
wks.adjust_column_width(i, pixel_size=85)
# Remove temp file.
os.remove(temp_file)
# with open('data.json') as f:
data = json.load(open(configJson))
return data
if (current_weekday == 1 and current_hour == '02') or (os.path.exists('/home/sasha/GoInbound/list_name') is False):
f = open("/home/sasha/GoInbound/list_name", "w")
f.write(strng)
f.close()
print("list name overwrote")
if int(current_hour) < 4:
current_weekday = current_weekday - 1
######################################################################
gc = pygsheets.authorize(outh_file='creds.json', outh_nonlocal=True)
# select the sheet
# sh = retry(gc.open)('Support hours') - its using retry function
sh = gc.open('Support hours')
# select the worksheet
wks = sh.worksheet(property='title', value=strng)
# wks = sh.worksheet(property='title', value='April 2 - April 6')
######################################################################
SLACK_BOT_TOKEN = os.environ["SLACK_BOT_TOKEN"]
# SLACK_VERIFICATION_TOKEN = os.environ["SLACK_VERIFICATION_TOKEN"]
# Slack client for Web API requests
slack_client = SlackClient(SLACK_BOT_TOKEN)
we = get_matrix()
WEEKDAY_MATRIX = get_matrix()['WEEKDAY_MATRIX']
def __init__(self, key_file_location):
self.gsheet_service = pygsheets.authorize(service_file=key_file_location)
def scanAuctions(info,
searchTerms,
dataIndex,
buyIndex,
fromCountry,
condition,
shipping,
resell,
priceLimit,
excludedKeywords=[]):
try:
currentDate = datetime.now()
api = Connection(appid='APP_ID_HERE ', config_file=None)
request = {
"keywords": searchTerms,
"outputSelector": "SellerInfo",
"sortOrder": "PriceByShippingLowest"
}
auction = api.execute('findItemsAdvanced', request)
assert (auction.reply.ack == 'Success')
assert (type(auction.reply.timestamp) == datetime)
assert (type(auction.reply.searchResult.item) == list)
auctions = auction.reply.searchResult.item
assert (type(auction.dict()) == dict)
auth = pygsheets.authorize(service_file='JSON_AUTH_FILE_PATH')
sheet = auth.open('eBay')
worksheet = sheet[dataIndex]
dupeURL = ''
acceptableShippingTypes = ['Free', 'Fixed', 'FreightFlat', 'Flat']
unacceptableShippingTypes = [
'Calculated', 'CalculatedDomesticFlatInternational', 'CustomCode',
'Pickup', 'FreePickup', 'FlatDomesticCalculatedInternational',
'Free', 'NotSpecified'
]
print('Looping through ' + str(len(auctions)) + ' ' + info + ' ' +
str(currentDate))
for item in auctions:
itemName = item.get('title')
itemCountry = item.get('country')
itemLocation = item.get('location')
itemShippingType = item.shippingInfo.get('shippingType')
itemCost = float(
item.sellingStatus.get('convertedCurrentPrice').value)
if (itemShippingType not in str(unacceptableShippingTypes)):
itemShippingCost = float(
item.shippingInfo.shippingServiceCost.value)
else:
itemShippingCost = 0.0
itemBuyNow = item.listingInfo.get('listingType')
itemStatus = item.sellingStatus.get('sellingState')
itemConditionID = str(item.condition.get('conditionId'))
itemCondition = conditionDef(str(
item.condition.get('conditionId')))
itemURL = item.get('viewItemURL')
itemStart = str(item.listingInfo.get('startTime'))
itemEnd = str(item.listingInfo.get('endTime'))
sellerFeedbackscore = int(item.sellerInfo.get('feedbackScore'))
sellerPositiveFeedback = float(
item.sellerInfo.get('positiveFeedbackPercent'))
totalItemCost = itemCost + itemShippingCost
listOfURLS = worksheet.find(itemURL)
if (len(listOfURLS) == 1):
dupeURL = str(listOfURLS[0])
if (conditionsToWrite(itemURL, dupeURL, fromCountry, itemCountry,
itemBuyNow, itemConditionID, condition,
sellerFeedbackscore, sellerPositiveFeedback,
itemShippingType, acceptableShippingTypes,
item.listingInfo.get('endTime'),
excludedKeywords, itemName)):
if (resell):
cells = worksheet.get_all_values(
include_tailing_empty_rows=False,
include_tailing_empty=False,
returnas='matrix')
lastRow = len(cells)
worksheet.insert_rows(lastRow,
number=1,
values=[
itemName, itemCountry,
itemLocation, itemShippingType,
itemBuyNow, itemStatus, itemURL,
itemStart, itemEnd, totalItemCost
])
elif (not resell and float(totalItemCost) <= priceLimit):
cells = worksheet.get_all_values(
include_tailing_empty_rows=False,
include_tailing_empty=False,
returnas='matrix')
lastRow = len(cells)
worksheet.insert_rows(lastRow,
number=1,
values=[
itemName, itemCountry,
itemLocation, itemShippingType,
itemBuyNow, itemStatus, itemURL,
itemStart, itemEnd, totalItemCost
])
if (resell):
#Cleans cell data up for parsing.
avg = replaceChars(worksheet.range('L2:L2'), 'L')
median = replaceChars(worksheet.range('M2:M2'), 'M')
for item in auctions:
itemName = item.get('title')
itemCountry = item.get('country')
itemLocation = item.get('location')
itemShippingType = item.shippingInfo.get('shippingType')
itemCost = float(
item.sellingStatus.get('convertedCurrentPrice').value)
if (itemShippingType not in str(unacceptableShippingTypes)):
itemShippingCost = float(
item.shippingInfo.shippingServiceCost.value)
else:
itemShippingCost = 0.0
itemBuyNow = item.listingInfo.get('listingType')
itemStatus = item.sellingStatus.get('sellingState')
itemConditionID = str(item.condition.get('conditionId'))
itemCondition = conditionDef(
str(item.condition.get('conditionId')))
itemURL = str(item.get('viewItemURL'))
itemStart = str(item.listingInfo.get('startTime'))
itemEnd = str(item.listingInfo.get('endTime'))
sellerFeedbackscore = int(
item.sellerInfo.get('feedbackScore'))
sellerPositiveFeedback = float(
item.sellerInfo.get('positiveFeedbackPercent'))
totalItemCost = itemCost + itemShippingCost
costBasis = avg if avg < median else median
profit = (costBasis - totalItemCost)
fees = (costBasis * .25) if shipping else (costBasis * .15)
if (profit > fees
and profit > totalItemCost - (totalItemCost * .20)):
worksheet = sheet[buyIndex]
listOfURLS = worksheet.find(itemURL)
if (len(listOfURLS) == 1):
dupeURL = str(listOfURLS[0])
if (conditionsToWrite(
itemURL, dupeURL, fromCountry, itemCountry,
itemBuyNow, itemConditionID, condition,
sellerFeedbackscore, sellerPositiveFeedback,
itemShippingType, acceptableShippingTypes,
item.listingInfo.get('endTime'), excludedKeywords,
itemName)):
cells = worksheet.get_all_values(
include_tailing_empty_rows=False,
include_tailing_empty=False,
returnas='matrix')
lastRow = len(cells)
worksheet.insert_rows(lastRow,
number=1,
values=[
itemName, itemCountry,
itemLocation,
itemShippingType, itemBuyNow,
itemStatus, itemURL,
itemStart, itemEnd,
totalItemCost, profit
])
except Exception as e:
print(str(e))