refactor: replace Google Sheets with ODS processing
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Replaced the use of Google Sheets (pygsheets and related dependencies) with local .ods file processing using Pandas. This simplifies the data handling by removing external dependencies and streamlining updates directly within .ods files. Fixes issues related to reliance on Google API and enhances performance by processing data locally.
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2 changed files with 20 additions and 27 deletions
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@ -15,7 +15,6 @@ from .models import (
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)
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from requests import Session
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from requests.exceptions import ConnectionError, Timeout, TooManyRedirects
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import pygsheets
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import pytz
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from django.conf import settings
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@ -394,23 +393,22 @@ def update_dominance(data):
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)
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dominance.save()
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gc = pygsheets.authorize(service_file="service_account_credentials.json")
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sh = gc.open("zcash_bitcoin")
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wks = sh.worksheet_by_title("Sheet7")
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values_mat = wks.get_values(start=(3, 1), end=(9999, 2), returnas="matrix")
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df = pd.read_excel(DATA_FILE, engine="odf", sheet_name="Sheet7")
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start_row, end_row = 2, 9999
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start_col, end_col = 0, 2
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values_mat = df.iloc[start_row:end_row, start_col:end_col].to_numpy()
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k = len(values_mat)
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date_aux = datetime.datetime.strptime(values_mat[k - 1][0], "%Y-%m-%d")
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date_aux2 = datetime.datetime.strftime(date.today(), "%Y-%m-%d")
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date_aux2 = datetime.datetime.strptime(date_aux2, "%Y-%m-%d")
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if date_aux < date_aux2:
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cell = "B" + str(k + 3)
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wks.update_value(cell, dominance.dominance)
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cell = "A" + str(k + 3)
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wks.update_value(cell, dominance.date)
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values_mat[k][1] = dominance.dominance
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values_mat[k][0] = dominance.date
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df.iloc[start_row:end_row, start_col:end_col] = values_mat
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df.to_excel(DATA_FILE, sheet_name="Sheet7", index=False)
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print("spreadsheet updated")
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else:
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print("spreadsheet already with the latest data")
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@ -432,21 +430,22 @@ def update_rank(data=None):
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rank.rank = int(data["data"]["XMR"]["cmc_rank"])
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rank.save()
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gc = pygsheets.authorize(service_file="service_account_credentials.json")
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sh = gc.open("zcash_bitcoin")
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wks = sh.worksheet_by_title("Sheet8")
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values_mat = wks.get_values(start=(3, 1), end=(9999, 2), returnas="matrix")
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df = pd.read_excel(DATA_FILE, engine="odf", sheet_name="Sheet8")
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start_row, end_row = 2, 9999
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start_col, end_col = 0, 2
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values_mat = df.iloc[start_row:end_row, start_col:end_col].to_numpy()
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k = len(values_mat)
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date_aux = datetime.datetime.strptime(values_mat[k - 1][0], "%Y-%m-%d")
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date_aux2 = datetime.datetime.strftime(date.today(), "%Y-%m-%d")
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date_aux2 = datetime.datetime.strptime(date_aux2, "%Y-%m-%d")
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if date_aux < date_aux2:
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cell = "B" + str(k + 3)
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wks.update_value(cell, rank.rank)
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cell = "A" + str(k + 3)
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wks.update_value(cell, rank.date)
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values_mat[k][1] = rank.rank
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values_mat[k][0] = rank.date
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df.iloc[start_row:end_row, start_col:end_col] = values_mat
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df.to_excel(DATA_FILE, sheet_name="Sheet8", index=False)
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print("spreadsheet updated")
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else:
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print("spreadsheet already with the latest data")
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@ -15,10 +15,6 @@ django-bootstrap4==24.4
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django-csp==3.8
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feedparser==6.0.11
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frozenlist==1.5.0
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google-api-core<3.0.0
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google-api-python-client<3.0.0
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google-auth<3.0.0
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googleapis-common-protos<2.0.0
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gunicorn # TODO: Should this really be a project dependency?
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httplib2==0.20.4
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multidict==6.1.0
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@ -31,12 +27,10 @@ psaw==0.1.0 # TODO: Unmaintained, recommends switch to https://github.com/mattpo
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psycopg2-binary
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pyasn1==0.6.1
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pyasn1-modules==0.4.1
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pygsheets==2.0.6
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pyparsing==3.2.0
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python-dateutil==2.9.0.post0
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pytz
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requests<3.0.0
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requests-oauthlib==1.3.1 # TODO: 2.0.0
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rsa==4.9
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sgmllib3k==1.0.0
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six==1.16.0
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