def to_sheet(message):
"""Send data from csv at ./assets/csv/ folder to google sheets"""
arg = extract_args(message.text)
file_uri = f"./assets/csv/kiem_kho_{str(arg)}.csv"
try:
COLS = ["Date", "User", "OrderCodes"]
df_csv = pd.read_csv(file_uri, names=COLS)
print(df_csv)
# then upload new data to sheets
bot.send_message(message.chat.id, "Đang xử lý...")
# update new data to sheets
df2g.upload(
df_csv,
SPREADSHEET_ID,
INVENTORY_NAME,
credentials=credentials,
row_names=False,
col_names=True,
clean=True,
)
bot.send_message(message.chat.id, "Đã push lên google sheets.")
except FileNotFoundError:
bot.send_message(
message.chat.id,
f"File ngày {arg} không tồn tại trên hệ thống. Vui lòng thử lại",
)
def export(location):
dataframe = pd.read_sql(
'''
SELECT tips.employee_id, tips.location, tips.time, tips.crew_id, employee.position, employee.name,
tips.tips, "Crews".created_at FROM "Crews"
JOIN tips ON tips.crew_id="Crews".id JOIN employee ON employee.id=tips.employee_id''',
db.session.bind)
dataframe['date'] = pd.to_datetime(dataframe['created_at']).dt.date
loc = location
if loc == 'Marigny':
marigny = dataframe.loc[dataframe['location'] == 'Marigny']
marigny_df = df_prep(marigny)
marigny_df = tip_out_prep(marigny_df)
d2g.upload(marigny_df,
spreadsheet_key,
wks_name[0],
credentials=creds,
row_names=True)
elif loc == 'Uptown':
uptown = dataframe.loc[dataframe['location'] == 'Uptown']
uptown_df = df_prep(uptown)
uptown_df = tip_out_prep(uptown_df)
d2g.upload(uptown_df,
spreadsheet_key,
wks_name[1],
credentials=creds,
row_names=True)
else:
return redirect('/')
msg = 'Success! \n\n Check out your Google Sheet for updated records'
return render_template('success.html', msg=msg)
def _write_sheets_table(df, freq, config, drive_config):
credentials, gc = _get_credentials()
spreadsheet_key = drive_config["spreadsheet_key"]
wks_name = freq
d2g.upload(df, spreadsheet_key, wks_name, row_names=False, credentials=credentials)
def export_to_google_sheets(user_login_dict, dataframe, tab_name):
spreadsheet_id = user_login_dict["spreadsheet_id"]
wks_name = tab_name
scope = ['https://www.googleapis.com/auth/spreadsheets'
] #Sets files that can be access on the drive.
try:
working_folder = os.getcwd()
os.chdir("..")
os.chdir(user_login_dict["certificates_folder"])
jsonFile = user_login_dict["api_login_json"]
credentials = service_account.ServiceAccountCredentials.from_json_keyfile_name(
jsonFile, scope)
gc = gspread.authorize(credentials)
os.chdir("..")
d2g.upload(dataframe,
spreadsheet_id,
wks_name,
credentials=credentials,
row_names=True
) #TODO change so int and not str are uploaded into sheet
os.chdir(working_folder)
print("Export to google sheets complete")
except:
os.chdir(working_folder)
print("Export to google sheets failed")
print("Report will be saved instead")
export_to_csv(dataframe, user_login_dict["result_file_name"])
def store_data_to_google_sheet(database_list, row_nums, sheet_name,
credentials, cursor):
for i in range(len(database_list)):
sqlStr = """
SHOW FULL columns FROM {}
""".format(database_list[i])
cursor.execute(sqlStr)
print('executed\n')
df = pd.DataFrame(list(cursor.fetchall()))
NameCol = pd.DataFrame(df[0])
TypeCol = pd.DataFrame(df[1])
isNullCol = pd.DataFrame(df[3])
DefaultCol = pd.DataFrame(df[5])
commentCol = pd.DataFrame(df[8])
data_cols = [NameCol, TypeCol, isNullCol, DefaultCol, commentCol]
col_letter = ['E', 'H', 'K', 'G', 'N']
for col in range(len(data_cols)):
d2g.upload(df=data_cols[col],
gfile='1-fNBj4V266e6D5HNGRNZ6Kfi02kVXfRsnlvEa7PNflQ',
start_cell=col_letter[col] + row_nums[i],
wks_name=sheet_name,
col_names=False,
row_names=False,
clean=False,
credentials=credentials,
df_size=False)
print(col)
print(database_list[i] + " finished upload")
def main():
## create mint object
mint = create_mint_objs(MINT_USERNAME, MINT_PASSWORD)
mint.get_accounts(True)
# Get transactions
#mint.get_transactions() # as pandas dataframe
transaction_json = mint.get_transactions_json(include_investment=False,
skip_duplicates=True)
## get transaction
transaction_df = pd.DataFrame(transaction_json)
transaction_df["amount"] = transaction_df["amount"].apply(lambda x: Decimal(sub(r'[^\d.]', '', x)))
transaction_df["amount"] = transaction_df["amount"].astype(float)
print("shaping data")
credit_card = get_credit_card(transaction_df)
venmo = get_venmo(transaction_df)
print("fetching credentials")
credentials = ServiceAccountCredentials.from_json_keyfile_name(GSPREAD_KEY, GSPREAD_SCOPE)
gc = gspread.authorize(credentials)
print("uploading to gsheets")
d2g.upload(credit_card, SPREADSHEET_ID, "Credit Card", credentials=credentials, row_names=True)
d2g.upload(venmo, SPREADSHEET_ID, "Venmo", credentials=credentials, row_names=True)
def write_data_to_gsheets(df_to_write):
'''
Write dataframe to Google Sheets.
'''
scope = [
'https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive'
]
credentials = ServiceAccountCredentials.from_json_keyfile_name(
MY_JSON_KEYFILE_NAME, scope)
gc = gspread.authorize(credentials)
spreadsheet_key = MY_SPREADSHEET_KEY
sh = gc.open(MY_SPREADSHEET_NAME)
sh.share(MY_EMAIL, perm_type='user', role='writer')
worksheet_name = str(datetime.today().strftime('%Y-%m-%d'))
d2g.upload(df_to_write,
spreadsheet_key,
worksheet_name,
credentials=credentials,
row_names=True)
return print('Data successfully loaded!')
def move_stuff_to_google_sheets(df=None,
spreadsheet_key='',
wks_name='',
text='',
row_names=False):
## now to google
import gspread
from df2gspread import df2gspread as d2g
from oauth2client.service_account import ServiceAccountCredentials
scope = [
'https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive'
]
credentials = ServiceAccountCredentials.from_json_keyfile_name(
'googlecoviddata.json', scope)
gc = gspread.authorize(credentials)
print("***LOADING TO GOOGLE ***")
d2g.upload(df,
spreadsheet_key,
wks_name,
credentials=credentials,
row_names=row_names)
print("***LOADING TO GOOGLE - DONE ***")
print("*** DONE WITH", str(text), " ***")
def send_to_sheets(totals_deflection, spreadsheet_key, path_to_spred_key):
df_to_sheets = pd.DataFrame(list(totals_deflection.items()),
columns=['Event', 'DELTA'])
# Configure the connection
scope = ['https://spreadsheets.google.com/feeds']
# Give the path to the Service Account Credential json file
credentials = ServiceAccountCredentials.from_json_keyfile_name(
path_to_spred_key + 'creds_gsheets.json', scope)
# Authorise
gc = gspread.authorize(credentials)
# The sprad sheet ID, which can be taken from the link to the sheet
wks_name = 'Sheet1'
cell_of_start_df = 'A1'
# upload the dataframe of the clients we want to delete
d2g.upload(df_to_sheets,
spreadsheet_key,
wks_name,
credentials=credentials,
col_names=True,
row_names=False,
start_cell=cell_of_start_df,
clean=False)
print('The sheet is updated successfully')
def updateRanks(credentials: 'credentials', season: int, week: int) -> None:
"""Update the Website Google Sheets for all Ranks. This will update each character,
the MidTiers, and Other"""
spreadsheet_key = '1gwi2PAyjBA2peLLexP2NGO2mfh_J-AbH8uxkAf3xt_s'
wks_name = 'Ranks'
websiteSheets = [
'Fox', 'Falco', 'Marth', 'Sheik', 'Falcon', 'Puff', 'Peach', 'ICs',
'MidTiers', 'Other'
]
print("Ranks")
characters = f'Data/Season{season}/PlotsWebsite/S{season}W{week}RankLegend.csv'
characters = pd.read_csv(characters, encoding='ISO-8859-1')
for i in range(len(websiteSheets)):
character = websiteSheets[i]
df = characters[characters['Character'] == character]
df = df[['SmashTag', 'Rank']]
df['Rank'] = df['Rank'].astype(int)
d2g.upload(df,
spreadsheet_key,
character,
credentials=credentials,
row_names=False)
time.sleep(10)
print(character)
def main():
# Initialize API access
FacebookAdsApi.set_default_api(initialize_facebook())
# Authorize credentials with Google Drive
gc = initialize_drive()
# Get account connected to the user
# [3] may not be your account, find the right account, try [0] first
my_account = AdAccountUser(fbid = 'me').get_ad_accounts()[3]
# Download existing or make dataframe and the last week
existing_totals, start_date_totals = download_df(WORKSHEETS[0])
existing_details, start_date_details = download_df(WORKSHEETS[1])
# Getting the sweet data
all_data_totals = loop_adding_weeks_totals(my_account, existing_totals, start_date_totals, INSIGHT_FIELDS)
all_data_details = loop_adding_weeks_details(my_account, existing_details, start_date_details, INSIGHT_FIELDS)
# Upload the transformed data to Google Sheets
d2g.upload(
df = all_data_totals,
gfile = SPREADSHEET,
wks_name = WORKSHEETS[0]
)
d2g.upload(
df = all_data_details,
gfile = SPREADSHEET,
wks_name = WORKSHEETS[1]
)
def update_df_in_gdrive(collection, worksheet_name="קטלוג סופי", copy=False):
credentials = get_google_drive_credentials()
if worksheet_name == "קטלוג סופי":
d2g.upload(
collection.full_catalog.applymap(str),
collection.google_sheet_file_id,
worksheet_name,
credentials=credentials,
row_names=True,
)
gc = gspread.authorize(credentials)
sh = gc.open_by_key(collection.google_sheet_file_id)
if "מספרי מערכת חסרים" in sh.worksheets():
sh.del_worksheet("מספרי מערכת חסרים")
if copy:
client = connect_to_google_drive()
spreadsheet = client.copy(
collection.google_sheet_file_id,
collection.collection_id + "_Final_to_Alma_" +
collection.dt_now,
)
collection.google_sheet_file_id = spreadsheet.id
collection.create_catalog_metadata_file()
else:
d2g.upload(
collection.missing_records.applymap(str),
collection.google_sheet_file_id,
worksheet_name,
credentials=credentials,
row_names=True,
)
def updatePoints(credentials: 'credentials', season: int, week: int) -> None:
"""Update the Website Google Sheets for all Bills. This will update each character,
the MidTiers, and Other"""
spreadsheet_key = '12Q-krFLMSpc-AuLH2KGjTz9SoAwC1ob1spxmVW7XSfY'
wks_name = 'Bills'
websiteSheets = [
'Fox', 'Falco', 'Marth', 'Sheik', 'Falcon', 'Puff', 'Peach', 'ICs',
'MidTiers', 'Other'
]
print("Points")
characters = f'Data/Season{season}/PlotsWebsite/S{season}W{week}PointsLegend.csv'
characters = pd.read_csv(characters, encoding='ISO-8859-1')
for i in range(len(websiteSheets)):
character = websiteSheets[i]
df = characters[characters['Character'] == character]
df = df.rename(columns={'Points': 'Bills'})
df['Bills'] = df['Bills'].astype(int)
df = df[['SmashTag', 'Bills']]
d2g.upload(df,
spreadsheet_key,
character,
credentials=credentials,
row_names=False)
time.sleep(10)
print(character)
def save(obj, csv, upload, html, path):
proposals = obj['proposals']
if not (csv or upload or html):
csv = True
if csv:
path = path or './'
path = os.path.join(path, "devconfcz_proposals.csv")
f = open(path, 'w')
proposals.to_csv(f)
if upload:
path = path or 'devconfcz_proposals'
wks = 'Submissions MASTER' # "update" the existing sheet
# grab only the items we don't already have so we
# can APPEND them to the sheet rather than rewritting
# the whole sheet
start_cell, col_names, proposals = _diff_submissions(path, wks,
proposals)
if not proposals.empty:
d2g.upload(proposals, path, wks, start_cell=start_cell,
clean=False, col_names=col_names)
else:
print("No new proposals to upload... QUITTING!")
if html:
print(proposals.style.render())
def save(obj, csv, upload, html, path):
proposals = obj['proposals']
if not (csv or upload or html):
csv = True
if csv:
path = path or './'
path = os.path.join(path, "devconfcz_proposals.csv")
f = open(path, 'w')
proposals.to_csv(f)
if upload:
path = path or 'devconfcz_proposals'
wks = 'Submissions MASTER' # "update" the existing sheet
# grab only the items we don't already have so we
# can APPEND them to the sheet rather than rewritting
# the whole sheet
start_cell, col_names, proposals = _diff_submissions(
path, wks, proposals)
if not proposals.empty:
d2g.upload(proposals,
path,
wks,
start_cell=start_cell,
clean=False,
col_names=col_names)
else:
print("No new proposals to upload... QUITTING!")
if html:
print(proposals.style.render())
def timelinetosheets(dictionary,sheetid,worksheet):
jsonfile = './configuration/'+config['JSON file from Google']
import gspread
from df2gspread import df2gspread as d2g
import oauth2client
from oauth2client.service_account import ServiceAccountCredentials
scope = ['https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive']
gcredentials = ServiceAccountCredentials.from_json_keyfile_name(jsonfile , scope)
client = gspread.authorize(gcredentials)
wks = client.open_by_key(sheetid)
x = 0
sheetnames = []
try:
while wks.get_worksheet(x) != None:
sheetnames.append(wks.get_worksheet(x).title)
x += 1
except:
pass
if not worksheet in sheetnames:
tempwks = wks.add_worksheet(title=worksheet, rows="1000", cols="30")
dataframe = pd.DataFrame(data=dictionary).T
d2g.upload(dataframe, sheetid, worksheet, credentials=gcredentials, row_names=True)
sheet = wks.worksheet(worksheet)
sheet.update_acell('A1', 'Date')
def exp_data(loc='gdrive'):
'excel', 'gdrive'
if loc == 'excel':
writer = ExcelWriter(
"/home/rem/Documents/FXCM Trading (Dropbox)/PyData.xlsx")
pr_instr.to_excel(writer, 'Sheet1')
pr_factors.to_excel(writer, 'Sheet2')
ewma_corr_instr.to_excel(writer, 'Sheet3')
ewma_cov_instr.to_excel(writer, 'Sheet4')
vol.to_excel(writer, 'Sheet5')
ewma_cov_fact.to_excel(writer, 'Sheet6')
writer.save()
if loc == 'gdrive':
d2g.upload(pr_instr, gfile='/Trading FXCM/PyData', wks_name='pr_instr')
d2g.upload(pr_factors,
gfile='/Trading FXCM/PyData',
wks_name='pr_factors')
d2g.upload(ewma_corr_instr,
gfile='/Trading FXCM/PyData',
wks_name='corr_instr')
d2g.upload(ewma_cov_instr,
gfile='/Trading FXCM/PyData',
wks_name='cov_instr')
d2g.upload(ewma_cov_fact,
gfile='/Trading FXCM/PyData',
wks_name='cov_fact')
return
def test_worksheet(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import pandas as pd
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
df_upload = pd.DataFrame(
{'0': ['1', '2', '3', '4']}, index=['1', '2', '3', '4'])
filepath = ''.join(
random.choice(string.ascii_uppercase + string.digits) for _ in range(10))
# First worksheet as default
d2g.upload(df_upload, filepath)
df_download = g2d.download(filepath, col_names=True, row_names=True)
assert all(df_upload == df_download)
# updating existed spreadsheet
d2g.upload(df_upload, filepath, wks_name=filepath)
df_download = g2d.download(filepath, col_names=True, row_names=True)
assert all(df_upload == df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def main():
# Define the auth scopes to request.
scope_ga = ['https://www.googleapis.com/auth/analytics.readonly']
#Authorize credentials with Google Drive to export data to a Google spreadsheet
scope_drive = [
'https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive'
]
credentials = ServiceAccountCredentials.from_json_keyfile_name(
json_key_file_location, scope_drive)
gc = gspread.authorize(credentials)
# Authenticate and construct service.
service = get_service('analytics', 'v3', scope_ga, key_file_location,
service_account_email)
profile = get_first_profile_id(service)
# Modulize the classes
ga_non_segmented = GA_non_segmented(service, profile)
ga_segmented = GA_segmented(service, profile)
# Create an empty pandas dataframe and fill it with this weeks data
data = pd.DataFrame()
for metric in no_seg:
data = data.append(ga_non_segmented.get_results(
service, profile, start_day, end_day, metric).get('rows')[0],
ignore_index=True)
for metric in seg:
data = data.append(
ga_segmented.get_results(service, profile, start_day, end_day,
metric, marketing_paid).get('rows')[0],
ignore_index=True)
for metric in seg:
data = data.append(
ga_segmented.get_results(service, profile, start_day, end_day,
metric, marketing_free).get('rows')[0],
ignore_index=True)
data.columns = [dt.date.today().isocalendar()[1]]
seg_paid = []
for word in seg:
seg_paid.append(word + '_paid')
seg_free = []
for word in seg:
seg_free.append(word + '_free')
data = data.set_index([no_seg + seg_paid + seg_free])
# Download the existing Gsheet data to a pandas dataframe
spreadsheet = 'your_googlesheet_id'
wks_name = 'ga_weekly_data'
existing_data = g2d.download(gfile=spreadsheet,
wks_name=wks_name,
col_names=True,
row_names=True)
# Define new DataFrame, calculate and append data
ga_weekly_data = pd.DataFrame()
ga_weekly_data = existing_data
ga_weekly_data[data.columns] = data[data.columns]
#Upload the whole pandas dataframe to the data dump spreadsheet on worksheet installs
d2g.upload(ga_weekly_data, spreadsheet, wks_name)
def upload_sheet(songs_df: pd.DataFrame, key):
# Get access to spreadsheet
scope = ['https://spreadsheets.google.com/feeds']
creds = ServiceAccountCredentials.from_json_keyfile_name('MarkovBot.json', scope)
client = gspread.authorize(creds)
sheet = client.open_by_key(key).sheet1
wks_name = 'Master'
d2g.upload(songs_df, key, wks_name, credentials=creds, row_names=True)
def update_sheet(sellers_list):
"""
record sales, revenue, profit in google spreadsheet
return: data frame of history record
"""
coln_list = [
'Seller', 'QTR', 'Product', 'Sales', 'Revenue', 'Expense', 'Profit',
'Advertisement Strategy', 'Promotion Effectiveness', 'Num of Buyers',
'Budget'
]
lst = []
for seller in sellers_list:
# update metrics
sales = seller.sales_history
revenue = seller.revenue_history
expense = seller.expense_history
profit = seller.profit_history
advert = seller.advert_history
promo = seller.promo_history
buyer = seller.buyer_history
budget = seller.budget
qtr_list = len(sales)
prd_list = seller.products_list
for qtr in range(qtr_list):
for prd in prd_list:
prd_history = [
str(seller.name),
int(qtr + 1),
str(prd.name),
int(sales[qtr][prd]),
int(revenue[qtr][prd]),
int(expense[qtr][prd]),
int(profit[qtr][prd]),
str(advert[qtr][prd]),
round(promo[qtr][prd], 2),
int(buyer[qtr][prd]),
int(budget[qtr])
]
lst.append(prd_history)
# spread sheet address
spreadsheet_key = '1H_MLURMBXG1jYapARtWbh_jd6T83huYAb8tSw7kUhv4'
# workbook name
wks_name = 'Master'
df = pd.DataFrame(lst, columns=coln_list)
# write data frame to spread sheet
d2g.upload(df,
spreadsheet_key,
wks_name,
credentials=credentials,
row_names=True)
return df
def alldatatosheets(dictionary,sheetid,worksheet):
jsonfile = './configuration/'+config['JSON file from Google']
import gspread
from df2gspread import df2gspread as d2g
import oauth2client
from oauth2client.service_account import ServiceAccountCredentials
scope = ['https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive']
gcredentials = ServiceAccountCredentials.from_json_keyfile_name(jsonfile , scope)
client = gspread.authorize(gcredentials)
wks = client.open_by_key(sheetid)
x = 0
sheetnames = []
try:
while wks.get_worksheet(x) != None:
sheetnames.append(wks.get_worksheet(x).title)
x += 1
except:
pass
if not worksheet in sheetnames:
tempwks = wks.add_worksheet(title=worksheet, rows="1000", cols="30")
labelslist = []
for i,j in dictionary.items():
for k,l in j.items():
if k=='labels' and l != {}:
for m,n in l.items():
labelslist.append((i,n))
memberslist = []
for i,j in dictionary.items():
for k,l in j.items():
if k=='members' and l !={}:
for m,n in l.items():
memberslist.append((i,n))
for i,j in dictionary.items():
try:
del j['labels']
except:
pass
if labelslist != []:
columnslabels = ['cardid','label']
columnsmembers = ['cardid','member']
df1 = pd.DataFrame(data=kaarten).T
df2 = pd.DataFrame(data=labelslist,columns=columnslabels)
df3 = pd.merge(df1,df2,on='cardid', how='left')
df4 = pd.DataFrame(data=memberslist,columns=columnsmembers)
dataframe = pd.merge(df3,df4,on='cardid', how='left')
else:
columnsmembers = ['cardid','member']
df1 = pd.DataFrame(data=kaarten).T
df2 = pd.DataFrame(data=memberslist,columns=columnsmembers)
dataframe = pd.merge(df1,df2,on='cardid', how='left')
d2g.upload(dataframe, sheetid, worksheet, credentials=gcredentials, row_names=True)
def write(df, SPREADSHEET_KEY, WORKSHEET_NAME):
credentials = ServiceAccountCredentials.from_json_keyfile_name(
'credentials.json', scope)
gc = gspread.authorize(credentials)
d2g.upload(df,
SPREADSHEET_KEY,
WORKSHEET_NAME,
credentials=credentials,
row_names=True)
print("Written")
def send_to_gs(df, wks_name):
"""
Send pandas dataframe to Google Spreadshseet
"""
d2g.upload(df,
spreadsheet_key,
wks_name,
credentials=credentials,
row_names=True)
def _write_sheets_table(df, config, drive_config):
credentials, gc = _get_credentials()
spreadsheet_key = drive_config['spreadsheet_key']
wks_name = drive_config['worksheet']
d2g.upload(df,
spreadsheet_key,
wks_name,
row_names=False,
credentials=credentials)
def start(month, year, app):
# Load the dataframe
scope = [
'https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive'
]
credentials = ServiceAccountCredentials.from_json_keyfile_name(
'gfip-294718-351dce3da4ae.json',
scope) # The credential json file here
spreadsheet_key = "1SFa0STOpjhB5b8Eqi92E40yDBCH9EFwqG_Mgv5gYdq0"
df = read_google_spreadsheet()
companies = df['Empresas'].tolist()
faps = df['Fap'].tolist()
prolabores = df['Pró-labore'].tolist()
path = "P:\\documentos\\OneDrive - Novus Contabilidade\\Doc Compartilhado\\Pessoal\\Relatórios Sefip"
# Standardize the Pró-labore's format
for i in range(0, len(prolabores)):
if prolabores[i] != "Sim":
prolabores[i] = "Não"
# Make sure the codes are int values (sometimes they are imported as float)
for i in range(0, len(companies)):
try:
companies[i] = int(companies[i])
except ValueError:
pass
dictionary = cria_dicionario(companies, faps, prolabores,
path) # {Código: [Nome, Fap, Pró-labore]}
rows_to_delete = []
for i in df.index:
if df.at[i, 'Fase 1'] != 'Ok':
print('Começando Fase 1', companies[i])
phase_1(df, i, dictionary, companies[i], month, year)
elif month != '13' and 'Verificado' in df.at[
i, 'Verificado Fase 1'] and df.at[i, 'Fase 2'] != 'Ok':
print('Começando Fase 2', companies[i])
if phase_2(df, i, dictionary, companies[i], month, year):
df.at[i, 'Fase 2'] = 'Ok'
d2g.upload(df,
spreadsheet_key,
credentials=credentials,
row_names=False
) # row_names=False removes the index 'column'
elif df.at[i, 'Verificado Fase 1'] == 'Verificado' and df.at[
i, 'Verificado Fase 2'] == 'Verificado':
rows_to_delete.append(i)
elif df.at[i, 'Pró-labore'] == "Sim" and df.at[
i, 'Verificado Fase 1'] == 'Verificado':
rows_to_delete.append(i)
else:
print("Conferir linha {} empresa {}".format(i, companies[i]))
def writeSheet(self,data):
import gspread
from df2gspread import df2gspread as d2g
from oauth2client.service_account import ServiceAccountCredentials
import pandas as pd
scope = ['https://spreadsheets.google.com/feeds','https://www.googleapis.com/auth/drive']
creds = ServiceAccountCredentials.from_json_keyfile_name('cliente_secret.json', scope)
client = gspread.authorize(creds)
spreadsheet_key = <yor spreadsheet ID here>
wks_name = 'ratings'
d2g.upload(data, spreadsheet_key, wks_name, credentials=creds, row_names=True, clean=True)
def store_data_firstBuy(dataframe, creds, week_diff):
sheet_name = 'FirstBuy'
start_row = str(week_diff - 1)
d2g.upload(df=dataframe,
gfile='1skrKAOLZLPoul59kgjbY6jQwE60VxVCOcIwG2fZJCXo',
start_cell="A" + start_row,
wks_name=sheet_name,
col_names=False,
row_names=False,
clean=False,
credentials=creds,
df_size=False)
print(sheet_name + " finished!")
def load2GSheet(df, sheetName):
scopes = [
'https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive'
]
credentials = SAC.from_json_keyfile_name("credentials.json", scopes)
spreadsheet_key = '1HqhkjYDrTR8jgLIZ0GMJzYqGk4tRNd6hTWVlzfySccE'
d2g.upload(df=df,
gfile=spreadsheet_key,
wks_name=sheetName,
credentials=credentials,
row_names=True)
def test_worksheet_invalid_name(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import pandas as pd
from df2gspread import gspread2df as g2d
from df2gspread import df2gspread as d2g
filepath = '/df2gspread_tests/invalid_wks_name'
df_upload = pd.DataFrame(['test'])
d2g.upload(df_upload, filepath)
with pytest.raises(RuntimeError):
g2d.download(gfile=filepath, wks_name='invalid_wks_name')
def test_worksheet_invalid_name(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import pandas as pd
from df2gspread import gspread2df as g2d
from df2gspread import df2gspread as d2g
filepath = '/df2gspread_tests/invalid_wks_name'
df_upload = pd.DataFrame(['test'])
d2g.upload(df_upload, filepath)
with pytest.raises(RuntimeError):
g2d.download(gfile=filepath, wks_name='invalid_wks_name')
def write_cleaned_data_to_worksheet(df):
'''
Write clean data to a new Google Sheets (cleansed data layer)
'''
sh = gc.open('job-seeker-maringa-cleaned-data')
clean_data_worksheet_name = str(datetime.today().strftime('%Y-%m-%d') +
'_cleaned')
sh.share(MY_EMAIL_ADDRESS, perm_type='user', role='writer')
d2g.upload(df,
CLEAN_DATA_SPREADSHEET_KEY,
clean_data_worksheet_name,
credentials=credentials,
row_names=False)
def store_data_MAU(dataframe, creds, sheet, new_month):
sheet_name = 'MAU'
start_row = ''
if new_month: start_row = str(len(sheet.get_all_records()) + 1)
else: start_row = str(len(sheet.get_all_records()))
d2g.upload(df=dataframe,
gfile='1skrKAOLZLPoul59kgjbY6jQwE60VxVCOcIwG2fZJCXo',
start_cell="A" + start_row,
wks_name=sheet_name,
col_names=False,
row_names=False,
clean=False,
credentials=creds,
df_size=False)
print(sheet_name + " finished!")
def test_big_worksheet(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
# Indexes count out of default 1000
df_upload = pd.DataFrame(index=range(1001),
columns=range(2))
df_upload = df_upload.fillna('0')
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath)
# df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Columns count out of default 100
df_upload = pd.DataFrame(index=range(1),
columns=range(101))
df_upload = df_upload.fillna('0')
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath)
# df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_gspread_load():
import random
import string
try:
import pandas as pd
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
except:
assert 0
from rafflepy import raffle
df_upload = pd.DataFrame({'color': ['b', 'w', 'p', 'm'],
'Username': ['John', 'Nicolos', 'Katy', 'Mike'],
'Other': [1, 2, 3, 4]})
filepath = ''.join(
random.choice(string.ascii_uppercase + string.digits) for _ in range(10))
# Uploading df to test-spreadsheet
d2g.upload(df_upload, filepath)
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
# Downloading via file_id
uri = file_id
pool = raffle.input_gload(uri)
assert all(pool == df_upload['Username'].values)
# Downloading certain column
column = 'color'
pool = raffle.input_gload(uri, column)
assert all(pool == df_upload['color'].values)
# Clear created file from drive
delete_file(credentials, file_id)
def test_spreadsheet(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import pandas as pd
from df2gspread import df2gspread as d2g
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
df = pd.DataFrame([1, 2, 3, 4])
filepath = ''.join(
random.choice(string.ascii_uppercase + string.digits) for _ in range(10))
credentials = get_credentials()
# creation of new spreadsheet
d2g.upload(df, filepath)
# updating existed spreadsheet by filepath
df = pd.DataFrame([1, 2, 3, 4, 5])
d2g.upload(df, filepath)
# updating existed spreadsheet by file_id
file_id = get_file_id(credentials, filepath)
d2g.upload(df, file_id)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_gspread2df_start_cell(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from numpy.testing import assert_array_equal
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
df_upload = pd.DataFrame(
{0: ['1', '2', 'x', '4'],
1: ['2', '2', 'y', '4'],
2: ['3', '2', 'w', '4'],
3: ['4', '2', 'z', '4']},
index=[0, 1, 2, 3])
# Start cell out of the table size
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
with pytest.raises(RuntimeError):
df_download = g2d.download(filepath, start_cell='A5')
with pytest.raises(RuntimeError):
df_download = g2d.download(filepath, start_cell='E1')
# Should be fixed in gspread
# with pytest.raises(RuntimeError):
# df_download = g2d.download(filepath, start_cell='A0')
# start_cell = 'A3'
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath, start_cell='A3')
assert_array_equal(df_upload.iloc[2:,:], df_download)
# start_cell = 'B3'
d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath, start_cell='B3')
assert_array_equal(df_upload.iloc[2:,1:], df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_df2gspread_start_cell(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
df_upload_0 = pd.DataFrame(
{0: ['1', '2', 'x', '4']},
index=[0, 1, 2, 3])
d2g.upload(df_upload_0, filepath, row_names=False, col_names=False, start_cell='A1')
df_download = g2d.download(filepath)
df_upload = df_upload_0
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0, filepath, row_names=False, col_names=False, start_cell='A2')
df_download = g2d.download(filepath)
df_upload = df_upload_0
new_rows = 1
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data = new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0, filepath, row_names=False, col_names=False, start_cell='B1')
df_download = g2d.download(filepath)
df_upload = df_upload_0
df_upload.insert(0, '-1', '')
df_upload.columns = range(0, len(df_upload.columns))
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0, filepath, row_names=False, col_names=False, start_cell='AB10')
df_download = g2d.download(filepath)
df_upload = df_upload_0
new_cols = 27
new_cols_array = np.chararray((len(df_upload), new_cols))
new_cols_array[:] = ''
df_new_cols = pd.DataFrame(data = new_cols_array)
df_upload = pd.concat([df_new_cols, df_upload], axis=1)
df_upload.columns = range(0, len(df_upload.columns))
new_rows = 9
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data = new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
assert_frame_equal(df_upload, df_download)
# Backward compatibility df2gspread => gspread2df
d2g.upload(df_upload_0, filepath, row_names=False, col_names=False, start_cell='AB10')
df_upload = df_upload_0
df_download = g2d.download(filepath, start_cell='AB10')
assert_frame_equal(df_upload, df_download)
d2g.upload(df_upload_0, filepath, start_cell='AB10')
df_upload = df_upload_0
df_download = g2d.download(filepath, row_names=True, col_names=True, start_cell='AB10')
df_download.index = df_download.index.astype(np.int64)
df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
delete_file(credentials, file_id)
def test_df2gspread_df_size(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
import gspread
from pandas.util.testing import assert_frame_equal, assert_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id, delete_file, get_worksheet
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
credentials = get_credentials()
gc = gspread.authorize(credentials)
gfile_id = get_file_id(credentials, filepath, write_access=True)
df_upload_a = pd.DataFrame(
{0: ['1', '2', 'x', '4']},
index=[0, 1, 2, 3])
df_upload_b = pd.DataFrame(data = np.array([np.arange(1500)]*2).T).applymap(str)
#Uploading a small DF to new sheet to test for sizing down from default
d2g.upload(df_upload_a, filepath, "test1", row_names=False, col_names=False, df_size=True)
df_download = g2d.download(filepath, "test1")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test1")
assert_equal(wks.row_count, len(df_upload))
assert_equal(len(df_upload.columns), wks.col_count)
assert_equal(len(df_download), len(df_upload))
assert_frame_equal(df_upload, df_download)
#Upload a large DF to existing, smaller sheet to test for proper expansion
d2g.upload(df_upload_b, filepath, "test1", row_names=False, col_names=False, df_size=True)
df_download = g2d.download(filepath, "test1")
df_upload = df_upload_b
wks = get_worksheet(gc, gfile_id, "test1")
assert_equal(wks.row_count, len(df_upload))
assert_equal(len(df_upload.columns), wks.col_count)
assert_equal(len(df_download), len(df_upload))
assert_frame_equal(df_upload, df_download)
#Uploading a small DF to existing large sheet to test for sizing down from default
d2g.upload(df_upload_a, filepath, "test1", row_names=False, col_names=False, df_size=True)
df_download = g2d.download(filepath, "test1")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test1")
assert_equal(wks.row_count, len(df_upload))
assert_equal(len(df_upload.columns), wks.col_count)
assert_equal(len(df_download), len(df_upload))
assert_frame_equal(df_upload, df_download)
#New sheet with col names, make sure 1 extra row and column
d2g.upload(df_upload_a, filepath, "test2", row_names=True, col_names=True, df_size=True)
df_download = g2d.download(filepath, "test2")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test2")
assert_equal(wks.row_count, len(df_upload) + 1)
assert_equal(len(df_upload.columns) + 1, wks.col_count)
assert_equal(len(df_download), len(df_upload) + 1)
#Upload to new sheet with specified dimensions
d2g.upload(df_upload_a, filepath, "test3", row_names=False, col_names=False, new_sheet_dimensions=(100,10))
df_download = g2d.download(filepath, "test3")
df_upload = df_upload_a
wks = get_worksheet(gc, gfile_id, "test3")
assert_equal(wks.row_count, 100)
assert_equal(10, wks.col_count)
assert_frame_equal(df_upload, df_download)
#Test df_size with start_cell
d2g.upload(df_upload_a, filepath, "test4", row_names=False, col_names=False, start_cell='AB10',
df_size = True)
df_download = g2d.download(filepath, "test4")
df_upload = df_upload_a
new_cols = 27
new_cols_array = np.chararray((len(df_upload), new_cols))
new_cols_array[:] = ''
df_new_cols = pd.DataFrame(data = new_cols_array)
df_upload = pd.concat([df_new_cols, df_upload], axis=1)
df_upload.columns = range(0, len(df_upload.columns))
new_rows = 9
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data = new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
wks = get_worksheet(gc, gfile_id, "test4")
assert_equal(wks.row_count, len(df_upload))
assert_equal(len(df_upload.columns), wks.col_count)
assert_equal(len(df_download), len(df_upload))
assert_frame_equal(df_upload, df_download)
#Test df_size with start_cell and sheet dimensions which need to be expanded
d2g.upload(df_upload_a, filepath, "test5", row_names=False, col_names=False, start_cell='AB10',
df_size = True, new_sheet_dimensions = (10,27))
df_download = g2d.download(filepath, "test5")
df_upload = df_upload_a
new_cols = 27
new_cols_array = np.chararray((len(df_upload), new_cols))
new_cols_array[:] = ''
df_new_cols = pd.DataFrame(data = new_cols_array)
df_upload = pd.concat([df_new_cols, df_upload], axis=1)
df_upload.columns = range(0, len(df_upload.columns))
new_rows = 9
new_rows_array = np.chararray((new_rows, len(df_upload.columns)))
new_rows_array[:] = ''
df_new_rows = pd.DataFrame(data = new_rows_array)
df_upload = df_new_rows.append(df_upload, ignore_index=True)
wks = get_worksheet(gc, gfile_id, "test5")
assert_equal(wks.row_count, len(df_upload))
assert_equal(len(df_upload.columns), wks.col_count)
assert_equal(len(df_download), len(df_upload))
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
delete_file(credentials, gfile_id)
def test_worksheet(user_credentials_not_available):
if user_credentials_not_available:
pytest.xfail(reason='Credentials')
import string
import random
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from df2gspread import df2gspread as d2g
from df2gspread import gspread2df as g2d
from df2gspread.utils import get_credentials
from df2gspread.gfiles import get_file_id
from df2gspread.gfiles import delete_file
df_upload = pd.DataFrame(
{0: ['1', '2', 'x', '4']},
index=[0, 1, 2, 3])
filepath = '/df2gspread_tests/' + ''.join(
random.choice(string.ascii_uppercase + string.digits)
for _ in range(10))
# First worksheet as default
d2g.upload(df_upload, filepath)
df_download = g2d.download(filepath, col_names=True, row_names=True)
df_download.columns = df_download.columns.astype(np.int64)
df_download.index = df_download.index.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Updating existed spreadsheet
d2g.upload(df_upload, filepath, wks_name='Sheet2')
df_download = g2d.download(filepath, col_names=True, row_names=True)
df_download.columns = df_download.columns.astype(np.int64)
df_download.index = df_download.index.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Updating with file_id
credentials = get_credentials()
file_id = get_file_id(credentials, filepath)
d2g.upload(df_upload, file_id)
df_download = g2d.download(file_id, col_names=True, row_names=True)
df_download.columns = df_download.columns.astype(np.int64)
df_download.index = df_download.index.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Only row_names
wks = d2g.upload(df_upload, filepath, col_names=False)
df_download = g2d.download(filepath, row_names=True)
df_download.index = df_download.index.astype(np.int64)
# df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Only col_names
wks = d2g.upload(df_upload, filepath, row_names=False)
df_download = g2d.download(filepath, col_names=True)
df_download.columns = df_download.columns.astype(np.int64)
assert_frame_equal(df_upload, df_download)
# Without column or row names
wks = d2g.upload(df_upload, filepath, row_names=False, col_names=False)
df_download = g2d.download(filepath)
assert_frame_equal(df_upload, df_download)
# Clear created file from drive
delete_file(credentials, file_id)