def mark_completed(df: 'dataframe', index: int, name: str) -> None:
"""Marks challenge index as completed in dataframe.
Args:
df (dataframe): df
index (int): challenge index
name (str): challenge name
"""
msg_completed = f"Logging index {name} as completed"
logging.info(msg_completed)
df.at[index, CHALLENGE_INFO_CSV_HEADERS[-2]] = 1
return
def mark_not_todo(df: 'datamframe', index: int, name: str) -> None:
"""marks challenge as not todo in dataframe.
Args:
df (datamframe): df
index (int): challenge index
name (str): challenge name
"""
msg_not_todo = f"Marking NOT todo for: {name}"
logging.info(msg_not_todo)
print(msg_not_todo)
df.at[index, CHALLENGE_INFO_CSV_HEADERS[-1]] = 0
return
def change_dir(domain_dir: str):
"""Changes the current working directory.
Creates directory if it doesn't exist.
Also creates a pre-READMEME.md file.
Args:
domain_dir: directory to change to.
"""
if not os.path.exists(domain_dir):
logging.info(f"DIR - creating {domain_dir}")
os.mkdir(domain_dir)
logging.info(f"DIR - changing to {domain_dir}")
os.chdir(domain_dir)
return
def solve_challenge(df: 'dataframe', index: int) -> bool:
"""Opens challenge url & file for user to complete.
Args:
df (dataframe): dataframe containing information
index (int): Row to read
Returns:
bool: if challenge was solved.
"""
logging.info(f"Chall info for: {index}")
chall_info = df.iloc[index]
logging.info(f"INFO: {chall_info}")
## Open url
url = chall_info.loc[CHALLENGE_INFO_CSV_HEADERS[-4]] + FULLSCREEN_URL
logging.debug(f"url: {url}")
print(f"Webpage: {url}")
WebPageInfo(url, scrape= False)
## Solution file
solution_url = url = chall_info[CHALLENGE_INFO_CSV_HEADERS[-3]]
sol_filename = solution_url[ solution_url.rfind('/') + 1:]
logging.info(f"sol filename {sol_filename}")
print(f"File: {sol_filename}")
os.system(sol_filename)
return
def locate_challenge(df: 'dataframe', last_chall_index: int, flag_review: bool) -> Tuple[bool, int]:
"""Returns boolean indicating if challenge located & index of challenge information
Args:
df (dataframe): dataframe of challenge inforamtion
Returns:
Tuple[bool, int]: Challenge located, index of challenge information
"""
if flag_review:
df = df.sample(frac=1).reset_index(drop=True)
for index, row in df.iterrows():
logging.debug(f"CHECK - Index {index}")
if (
row[CHALLENGE_INFO_CSV_HEADERS[-1]] and ## TODO
row[CHALLENGE_INFO_CSV_HEADERS[-2]] == flag_review and ## Completed = flag_review
index != last_chall_index
):
logging.info(f"FOUND - challenge at {index}")
return_index = row[CHALLENGE_INFO_CSV_HEADERS[0]] if flag_review else index
return (True, return_index)
return (False, None)