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Naming to snake_case

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This commit is contained in:
Markus Nyman 2023-01-12 14:49:00 +02:00
parent 0ab9772b33
commit e9c3d99c53
1 changed files with 212 additions and 209 deletions
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421
TimeToTrakt.py
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@ -46,18 +46,18 @@ class Config:
gdpr_workspace_path: str
def isAuthenticated():
def is_authenticated():
with open("pytrakt.json") as f:
data = json.load(f)
daysBeforeExpiration = (
days_before_expiration = (
datetime.fromtimestamp(data["OAUTH_EXPIRES_AT"]) - datetime.now()
).days
if daysBeforeExpiration < 1:
if days_before_expiration < 1:
return False
return True
def getConfiguration() -> Config:
def get_configuration() -> Config:
try:
with open("config.json") as f:
data = json.load(f)
@ -78,15 +78,15 @@ def getConfiguration() -> Config:
)
config = getConfiguration()
config = get_configuration()
WATCHED_SHOWS_PATH = config.gdpr_workspace_path + "/seen_episode.csv"
FOLLOWED_SHOWS_PATH = config.gdpr_workspace_path + "/followed_tv_show.csv"
MOVIES_PATH = config.gdpr_workspace_path + "/tracking-prod-records.csv"
def initTraktAuth():
if isAuthenticated():
def init_trakt_auth():
if is_authenticated():
return True
# Set the method of authentication
trakt.core.AUTH_METHOD = trakt.core.OAUTH_AUTH
@ -103,18 +103,18 @@ def initTraktAuth():
# the accuracy of Trakt results.
def getYearFromTitle(title):
def get_year_from_title(title):
ex = Expando()
try:
# Use a regex expression to get the value within the brackets e.g The Americans (2017)
yearSearch = re.search(r"\(([A-Za-z0-9_]+)\)", title)
yearValue = yearSearch.group(1)
year_search = re.search(r"\(([A-Za-z0-9_]+)\)", title)
year_value = year_search.group(1)
# Then, get the title without the year value included
titleValue = title.split("(")[0].strip()
title_value = title.split("(")[0].strip()
# Put this together into an object
ex.titleWithoutYear = titleValue
ex.yearValue = int(yearValue)
ex.titleWithoutYear = title_value
ex.yearValue = int(year_value)
return ex
except Exception:
# If the above failed, then the title doesn't include a year
@ -129,24 +129,24 @@ def getYearFromTitle(title):
# It seems to improve automation, and reduce manual selection....
def checkTitleNameMatch(tvTimeTitle, traktTitle):
def check_title_name_match(tv_time_title, trakt_title):
# If the name is a complete match, then don't bother comparing them!
if tvTimeTitle == traktTitle:
if tv_time_title == trakt_title:
return True
# Split the TvTime title
tvTimeTitleSplit = tvTimeTitle.split()
tv_time_title_split = tv_time_title.split()
# Create an array of words which are found in the Trakt title
wordsMatched = []
words_matched = []
# Go through each word of the TV Time title, and check if it's in the Trakt title
for word in tvTimeTitleSplit:
if word in traktTitle:
wordsMatched.append(word)
for word in tv_time_title_split:
if word in trakt_title:
words_matched.append(word)
# Then calculate what percentage of words matched
quotient = len(wordsMatched) / len(traktTitle.split())
quotient = len(words_matched) / len(trakt_title.split())
percentage = quotient * 100
# If more than 50% of words in the TV Time title exist in the Trakt title,
@ -158,79 +158,78 @@ def checkTitleNameMatch(tvTimeTitle, traktTitle):
# in Trakt.TV either by automation, or asking the user to confirm.
def getShowByName(name, seasonNo, episodeNo):
def get_show_by_name(name, season_number, episode_number):
# Parse the TV Show's name for year, if one is present in the string
titleObj = getYearFromTitle(name)
title_obj = get_year_from_title(name)
# Create a boolean to indicate if the title contains a year,
# this is used later on to improve the accuracy of picking
# from search results
doesTitleIncludeYear = titleObj.yearValue != -1
does_title_include_year = title_obj.yearValue != -1
# If the title contains a year, then replace the local variable with the stripped version
if doesTitleIncludeYear:
name = titleObj.titleWithoutYear
if does_title_include_year:
name = title_obj.titleWithoutYear
# Request the Trakt API for search results, using the name
tvSearch = TVShow.search(name)
tv_search = TVShow.search(name)
# Create an array of shows which have been matched
showsWithSameName = []
shows_with_same_name = []
# Go through each result from the search
for show in tvSearch:
for show in tv_search:
# Check if the title is a match, based on our conditions (e.g over 50% of words match)
if checkTitleNameMatch(name, show.title):
if check_title_name_match(name, show.title):
# If the title included the year of broadcast, then we can be more picky in the results
# to look for a show with a broadcast year that matches
if doesTitleIncludeYear:
if does_title_include_year:
# If the show title is a 1:1 match, with the same broadcast year, then bingo!
if (name == show.title) and (show.year == titleObj.yearValue):
if (name == show.title) and (show.year == title_obj.yearValue):
# Clear previous results, and only use this one
showsWithSameName = []
showsWithSameName.append(show)
shows_with_same_name = [show]
break
# Otherwise, only add the show if the broadcast year matches
if show.year == titleObj.yearValue:
showsWithSameName.append(show)
if show.year == title_obj.yearValue:
shows_with_same_name.append(show)
# If the program doesn't have the broadcast year, then add all the results
else:
showsWithSameName.append(show)
shows_with_same_name.append(show)
# Sweep through the results once more for 1:1 title name matches,
# then if the list contains one entry with a 1:1 match, then clear the array
# and only use this one!
completeMatchNames = []
for nameFromSearch in showsWithSameName:
complete_match_names = []
for nameFromSearch in shows_with_same_name:
if nameFromSearch.title == name:
completeMatchNames.append(nameFromSearch)
complete_match_names.append(nameFromSearch)
if len(completeMatchNames) == 1:
showsWithSameName = completeMatchNames
if len(complete_match_names) == 1:
shows_with_same_name = complete_match_names
# If the search contains multiple results, then we need to confirm with the user which show
# the script should use, or access the local database to see if the user has already provided
# a manual selection
if len(showsWithSameName) > 1:
if len(shows_with_same_name) > 1:
# Query the local database for existing selection
userMatchedQuery = Query()
queryResult = userMatchedShowsTable.search(userMatchedQuery.ShowName == name)
user_matched_query = Query()
query_result = userMatchedShowsTable.search(user_matched_query.ShowName == name)
# If the local database already contains an entry for a manual selection
# then don't bother prompting the user to select it again!
if len(queryResult) == 1:
if len(query_result) == 1:
# Get the first result from the query
firstMatch = queryResult[0]
first_match = query_result[0]
# Get the value contains the selection index
firstMatchSelectedIndex = int(firstMatch.get("UserSelectedIndex"))
first_match_selected_index = int(first_match.get("UserSelectedIndex"))
# Check if the user previously requested to skip the show
skipShow = firstMatch.get("SkipShow")
skip_show = first_match.get("SkipShow")
# If the user did not skip, but provided an index selection, get the
# matching show
if not skipShow:
return showsWithSameName[firstMatchSelectedIndex]
if not skip_show:
return shows_with_same_name[first_match_selected_index]
# Otherwise, return None, which will trigger the script to skip
# and move onto the next show
else:
@ -239,27 +238,29 @@ def getShowByName(name, seasonNo, episodeNo):
# then prompt the user to make a selection
else:
print(
f"INFO - MANUAL INPUT REQUIRED: The TV Time data for Show '{name}' (Season {seasonNo}, Episode {episodeNo}) has {len(showsWithSameName)} matching Trakt shows with the same name.\a"
f"INFO - MANUAL INPUT REQUIRED: The TV Time data for Show '{name}' (Season {season_number},"
f"Episode {episode_number}) has {len(shows_with_same_name)} matching Trakt shows with the same name.\a "
)
# Output each show for manual selection
for idx, item in enumerate(showsWithSameName):
for idx, item in enumerate(shows_with_same_name):
# Display the show's title, broadcast year, amount of seasons and a link to the Trakt page.
# This will provide the user with enough information to make a selection.
print(
f" ({idx + 1}) {item.title} - {item.year} - {len(item.seasons)} Season(s) - More Info: https://trakt.tv/{item.ext}"
f" ({idx + 1}) {item.title} - {item.year} - {len(item.seasons)} "
f"Season(s) - More Info: https://trakt.tv/{item.ext}"
)
while True:
try:
# Get the user's selection, either a numerical input, or a string 'SKIP' value
indexSelected = input(
index_selected = input(
"Please make a selection from above (or enter SKIP):"
)
if indexSelected != "SKIP":
if index_selected != "SKIP":
# Since the value isn't 'skip', check that the result is numerical
indexSelected = int(indexSelected) - 1
index_selected = int(index_selected) - 1
# Exit the selection loop
break
# Otherwise, exit the loop
@ -271,12 +272,12 @@ def getShowByName(name, seasonNo, episodeNo):
# Otherwise, the user has entered an invalid value, warn the user to try again
except Exception:
logging.error(
f"Sorry! Please select a value between 0 to {len(showsWithSameName)}"
f"Sorry! Please select a value between 0 to {len(shows_with_same_name)}"
)
# If the user entered 'SKIP', then exit from the loop with no selection, which
# will trigger the program to move onto the next episode
if indexSelected == "SKIP":
if index_selected == "SKIP":
# Record that the user has skipped the TV Show for import, so that
# manual input isn't required everytime
userMatchedShowsTable.insert(
@ -286,23 +287,23 @@ def getShowByName(name, seasonNo, episodeNo):
return None
# Otherwise, return the selection which the user made from the list
else:
selectedShow = showsWithSameName[int(indexSelected)]
selected_show = shows_with_same_name[int(index_selected)]
userMatchedShowsTable.insert(
{
"ShowName": name,
"UserSelectedIndex": indexSelected,
"UserSelectedIndex": index_selected,
"SkipShow": False,
}
)
return selectedShow
return selected_show
else:
if len(showsWithSameName) > 0:
if len(shows_with_same_name) > 0:
# If the search returned only one result, then awesome!
# Return the show, so the import automation can continue.
return showsWithSameName[0]
return shows_with_same_name[0]
else:
return None
@ -313,76 +314,74 @@ def getShowByName(name, seasonNo, episodeNo):
# this will match TV Time's existing value.
def parseSeasonNo(seasonNo, traktShowObj):
def parse_season_number(season_number, trakt_show_obj):
# Parse the season number into a numerical value
seasonNo = int(seasonNo)
season_number = int(season_number)
# Then get the Season Number from the first item in the array
firstSeasonNo = traktShowObj.seasons[0].number
first_season_no = trakt_show_obj.seasons[0].number
# If the season number is 0, then the Trakt show contains a "special" season
if firstSeasonNo == 0:
if first_season_no == 0:
# No need to modify the value, as the TV Time value will match Trakt
return seasonNo
return season_number
# Otherwise, if the Trakt seasons start with no specials, then return the seasonNo,
# but subtracted by one (e.g Season 1 in TV Time, will be 0)
else:
# Only subtract if the TV Time season number is greater than 0.
if seasonNo != 0:
return seasonNo - 1
if season_number != 0:
return season_number - 1
# Otherwise, the TV Time season is a special! Then you don't need to change the starting position
else:
return seasonNo
return season_number
def processWatchedShows():
# Total amount of rows which have been processed in the CSV file
rowsCount = 0
def process_watched_shows():
# Total amount of rows in the CSV file
errorStreak = 0
error_streak = 0
# Open the CSV file within the GDPR exported data
with open(WATCHED_SHOWS_PATH, newline="") as csvfile:
# Create the CSV reader, which will break up the fields using the delimiter ','
showsReader = csv.DictReader(csvfile, delimiter=",")
shows_reader = csv.DictReader(csvfile, delimiter=",")
# Get the total amount of rows in the CSV file,
rowsTotal = len(list(showsReader))
rows_total = len(list(shows_reader))
# Move position to the beginning of the file
csvfile.seek(0, 0)
# Loop through each line/record of the CSV file
# Ignore the header row
next(showsReader, None)
for rowsCount, row in enumerate(showsReader):
next(shows_reader, None)
for rowsCount, row in enumerate(shows_reader):
# Get the name of the TV show
tvShowName = row["tv_show_name"]
# Get the TV Time Episode Id
tvShowEpisodeId = row["episode_id"]
tv_show_name = row["tv_show_name"]
# Get the TV Time Episode id
tv_show_episode_id = row["episode_id"]
# Get the TV Time Season Number
tvShowSeasonNo = row["episode_season_number"]
tv_show_season_no = row["episode_season_number"]
# Get the TV Time Episode Number
tvShowEpisodeNo = row["episode_number"]
tv_show_episode_no = row["episode_number"]
# Get the date which the show was marked 'watched' in TV Time
tvShowDateWatched = row["updated_at"]
tv_show_date_watched = row["updated_at"]
# Parse the watched date value into a Python type
tvShowDateWatchedConverted = datetime.strptime(
tvShowDateWatched, "%Y-%m-%d %H:%M:%S"
tv_show_date_watched_converted = datetime.strptime(
tv_show_date_watched, "%Y-%m-%d %H:%M:%S"
)
# Query the local database for previous entries indicating that
# the episode has already been imported in the past. Which will
# ease pressure on TV Time's API server during a retry of the import
# process, and just save time overall without needing to create network requests
episodeCompletedQuery = Query()
queryResult = syncedEpisodesTable.search(
episodeCompletedQuery.episodeId == tvShowEpisodeId
episode_completed_query = Query()
query_result = syncedEpisodesTable.search(
episode_completed_query.episodeId == tv_show_episode_id
)
# If the query returned no results, then continue to import it into Trakt
if len(queryResult) == 0:
if len(query_result) == 0:
# Create a repeating loop, which will break on success, but repeats on failures
while True:
# If more than 10 errors occurred in one streak, whilst trying to import the episode
# then give up, and move onto the next episode, but warn the user.
if errorStreak > 10:
if error_streak > 10:
logging.warning(
"An error occurred 10 times in a row... skipping episode..."
)
@ -393,46 +392,50 @@ def processWatchedShows():
# Other developers share the service, for free - so be considerate of your usage.
time.sleep(DELAY_BETWEEN_EPISODES_IN_SECONDS)
# Search Trakt for the TV show matching TV Time's title value
traktShowObj = getShowByName(
tvShowName, tvShowSeasonNo, tvShowEpisodeNo
trakt_show_obj = get_show_by_name(
tv_show_name, tv_show_season_no, tv_show_episode_no
)
# If the method returned 'None', then this is an indication to skip the episode, and
# move onto the next one
if traktShowObj is None:
if trakt_show_obj is None:
break
# Show the progress of the import on-screen
logging.info(
f"({rowsCount + 1}/{rowsTotal}) - Processing '{tvShowName}' Season {tvShowSeasonNo} / Episode {tvShowEpisodeNo}"
f"({rowsCount + 1}/{rows_total}) - Processing '{tv_show_name}' Season {tv_show_season_no} /"
f"Episode {tv_show_episode_no}"
)
# Get the season from the Trakt API
season = traktShowObj.seasons[
parseSeasonNo(tvShowSeasonNo, traktShowObj)
season = trakt_show_obj.seasons[
parse_season_number(tv_show_season_no, trakt_show_obj)
]
# Get the episode from the season
episode = season.episodes[int(tvShowEpisodeNo) - 1]
episode = season.episodes[int(tv_show_episode_no) - 1]
# Mark the episode as watched!
episode.mark_as_seen(tvShowDateWatchedConverted)
episode.mark_as_seen(tv_show_date_watched_converted)
# Add the episode to the local database as imported, so it can be skipped,
# if the process is repeated
syncedEpisodesTable.insert({"episodeId": tvShowEpisodeId})
syncedEpisodesTable.insert({"episodeId": tv_show_episode_id})
# Clear the error streak on completing the method without errors
errorStreak = 0
error_streak = 0
break
# Catch errors which occur because of an incorrect array index. This occurs when
# an incorrect Trakt show has been selected, with season/episodes which don't match TV Time.
# It can also occur due to a bug in Trakt Py, whereby some seasons contain an empty array of episodes.
except IndexError:
tvShowSlug = traktShowObj.to_json()["shows"][0]["ids"]["ids"][
tv_show_slug = trakt_show_obj.to_json()["shows"][0]["ids"]["ids"][
"slug"
]
logging.warning(
f"({rowsCount}/{rowsTotal}) - {tvShowName} Season {tvShowSeasonNo}, Episode {tvShowEpisodeNo} does not exist in Trakt! (https://trakt.tv/shows/{tvShowSlug}/seasons/{tvShowSeasonNo}/episodes/{tvShowEpisodeNo})"
f"({rowsCount}/{rows_total}) - {tv_show_name} Season {tv_show_season_no}, "
f"Episode {tv_show_episode_no} does not exist in Trakt! "
f"(https://trakt.tv/shows/{tv_show_slug}/seasons/{tv_show_season_no}/episodes/{tv_show_episode_no})"
)
break
# Catch any errors which are raised because a show could not be found in Trakt
except trakt.errors.NotFoundException:
logging.warning(
f"({rowsCount}/{rowsTotal}) - {tvShowName} Season {tvShowSeasonNo}, Episode {tvShowEpisodeNo} does not exist (search) in Trakt!"
f"({rowsCount}/{rows_total}) - {tv_show_name} Season {tv_show_season_no}, "
f"Episode {tv_show_episode_no} does not exist (search) in Trakt!"
)
break
# Catch errors because of the program breaching the Trakt API rate limit
@ -445,12 +448,12 @@ def processWatchedShows():
time.sleep(60)
# Mark the exception in the error streak
errorStreak += 1
error_streak += 1
# Catch a JSON decode error - this can be raised when the API server is down and produces a HTML page, instead of JSON
except json.decoder.JSONDecodeError:
logging.warning(
f"({rowsCount}/{rowsTotal}) - A JSON decode error occuring whilst processing {tvShowName} "
+ f"Season {tvShowSeasonNo}, Episode {tvShowEpisodeNo}! This might occur when the server is down and has produced "
f"({rowsCount}/{rows_total}) - A JSON decode error occuring whilst processing {tv_show_name} "
+ f"Season {tv_show_season_no}, Episode {tv_show_episode_no}! This might occur when the server is down and has produced "
+ "a HTML document instead of JSON. The script will wait 60 seconds before trying again."
)
@ -458,14 +461,14 @@ def processWatchedShows():
time.sleep(60)
# Mark the exception in the error streak
errorStreak += 1
error_streak += 1
# Catch a CTRL + C keyboard input, and exits the program
except KeyboardInterrupt:
sys.exit("Cancel requested...")
# Skip the episode
else:
logging.info(
f"({rowsCount}/{rowsTotal}) - Already imported, skipping '{tvShowName}' Season {tvShowSeasonNo} / Episode {tvShowEpisodeNo}."
f"({rowsCount}/{rows_total}) - Already imported, skipping '{tv_show_name}' Season {tv_show_season_no} / Episode {tv_show_episode_no}."
)
@ -473,79 +476,78 @@ def processWatchedShows():
# in Trakt.TV either by automation, or asking the user to confirm.
def getMovieByName(name):
def get_movie_by_name(name):
# Parse the Movie's name for year, if one is present in the string
titleObj = getYearFromTitle(name)
title_obj = get_year_from_title(name)
# Create a boolean to indicate if the title contains a year,
# this is used later on to improve the accuracy of picking
# from search results
doesTitleIncludeYear = titleObj.yearValue != -1
does_title_include_year = title_obj.yearValue != -1
# If the title contains a year, then replace the local variable with the stripped version
if doesTitleIncludeYear:
name = titleObj.titleWithoutYear
if does_title_include_year:
name = title_obj.titleWithoutYear
# Request the Trakt API for search results, using the name
movieSearch = Movie.search(name)
movie_search = Movie.search(name)
# Create an array of movies which have been matched
moviesWithSameName = []
movies_with_same_name = []
# Go through each result from the search
for movie in movieSearch:
for movie in movie_search:
# Check if the title is a match, based on our conditions (e.g over 50% of words match)
if checkTitleNameMatch(name, movie.title):
if check_title_name_match(name, movie.title):
# If the title included the year of broadcast, then we can be more picky in the results
# to look for a movie with a broadcast year that matches
if doesTitleIncludeYear:
if does_title_include_year:
# If the movie title is a 1:1 match, with the same broadcast year, then bingo!
if (name == movie.title) and (movie.year == titleObj.yearValue):
if (name == movie.title) and (movie.year == title_obj.yearValue):
# Clear previous results, and only use this one
moviesWithSameName = []
moviesWithSameName.append(movie)
movies_with_same_name = [movie]
break
# Otherwise, only add the movie if the broadcast year matches
if movie.year == titleObj.yearValue:
moviesWithSameName.append(movie)
if movie.year == title_obj.yearValue:
movies_with_same_name.append(movie)
# If the program doesn't have the broadcast year, then add all the results
else:
moviesWithSameName.append(movie)
movies_with_same_name.append(movie)
# Sweep through the results once more for 1:1 title name matches,
# then if the list contains one entry with a 1:1 match, then clear the array
# and only use this one!
completeMatchNames = []
for nameFromSearch in moviesWithSameName:
complete_match_names = []
for nameFromSearch in movies_with_same_name:
if nameFromSearch.title == name:
completeMatchNames.append(nameFromSearch)
complete_match_names.append(nameFromSearch)
if len(completeMatchNames) == 1:
moviesWithSameName = completeMatchNames
if len(complete_match_names) == 1:
movies_with_same_name = complete_match_names
# If the search contains multiple results, then we need to confirm with the user which movie
# the script should use, or access the local database to see if the user has already provided
# a manual selection
if len(moviesWithSameName) > 1:
if len(movies_with_same_name) > 1:
# Query the local database for existing selection
userMatchedQuery = Query()
queryResult = userMatchedMoviesTable.search(userMatchedQuery.movie_name == name)
user_matched_query = Query()
query_result = userMatchedMoviesTable.search(user_matched_query.movie_name == name)
# If the local database already contains an entry for a manual selection
# then don't bother prompting the user to select it again!
if len(queryResult) == 1:
if len(query_result) == 1:
# Get the first result from the query
firstMatch = queryResult[0]
first_match = query_result[0]
# Get the value contains the selection index
firstMatchSelectedIndex = int(firstMatch.get("UserSelectedIndex"))
first_match_selected_index = int(first_match.get("UserSelectedIndex"))
# Check if the user previously requested to skip the movie
skipMovie = firstMatch.get("SkipMovie")
skip_movie = first_match.get("SkipMovie")
# If the user did not skip, but provided an index selection, get the
# matching movie
if not skipMovie:
return moviesWithSameName[firstMatchSelectedIndex]
if not skip_movie:
return movies_with_same_name[first_match_selected_index]
# Otherwise, return None, which will trigger the script to skip
# and move onto the next movie
else:
@ -554,11 +556,12 @@ def getMovieByName(name):
# then prompt the user to make a selection
else:
print(
f"INFO - MANUAL INPUT REQUIRED: The TV Time data for Movie '{name}' has {len(moviesWithSameName)} matching Trakt movies with the same name.\a"
f"INFO - MANUAL INPUT REQUIRED: The TV Time data for Movie '{name}' has {len(movies_with_same_name)} "
f"matching Trakt movies with the same name.\a"
)
# Output each movie for manual selection
for idx, item in enumerate(moviesWithSameName):
for idx, item in enumerate(movies_with_same_name):
# Display the movie's title, broadcast year, amount of seasons and a link to the Trakt page.
# This will provide the user with enough information to make a selection.
print(
@ -568,13 +571,13 @@ def getMovieByName(name):
while True:
try:
# Get the user's selection, either a numerical input, or a string 'SKIP' value
indexSelected = input(
index_selected = input(
"Please make a selection from above (or enter SKIP):"
)
if indexSelected != "SKIP":
if index_selected != "SKIP":
# Since the value isn't 'skip', check that the result is numerical
indexSelected = int(indexSelected) - 1
index_selected = int(index_selected) - 1
# Exit the selection loop
break
# Otherwise, exit the loop
@ -586,12 +589,12 @@ def getMovieByName(name):
# Otherwise, the user has entered an invalid value, warn the user to try again
except Exception:
logging.error(
f"Sorry! Please select a value between 0 to {len(moviesWithSameName)}"
f"Sorry! Please select a value between 0 to {len(movies_with_same_name)}"
)
# If the user entered 'SKIP', then exit from the loop with no selection, which
# will trigger the program to move onto the next episode
if indexSelected == "SKIP":
if index_selected == "SKIP":
# Record that the user has skipped the Movie for import, so that
# manual input isn't required everytime
userMatchedMoviesTable.insert(
@ -601,90 +604,89 @@ def getMovieByName(name):
return None
# Otherwise, return the selection which the user made from the list
else:
selectedMovie = moviesWithSameName[int(indexSelected)]
selected_movie = movies_with_same_name[int(index_selected)]
userMatchedMoviesTable.insert(
{
"movie_name": name,
"UserSelectedIndex": indexSelected,
"UserSelectedIndex": index_selected,
"SkipMovie": False,
}
)
return selectedMovie
return selected_movie
else:
if len(moviesWithSameName) > 0:
if len(movies_with_same_name) > 0:
# If the search returned only one result, then awesome!
# Return the movie, so the import automation can continue.
return moviesWithSameName[0]
return movies_with_same_name[0]
else:
return None
def processMovies():
def process_movies():
# Total amount of rows which have been processed in the CSV file
rowsCount = 0
# Total amount of rows in the CSV file
errorStreak = 0
error_streak = 0
# Open the CSV file within the GDPR exported data
with open(MOVIES_PATH, newline="") as csvfile:
# Create the CSV reader, which will break up the fields using the delimiter ','
movieReaderTemp = csv.DictReader(csvfile, delimiter=",")
movieReader = filter(lambda p: "" != p["movie_name"], movieReaderTemp)
movie_reader_temp = csv.DictReader(csvfile, delimiter=",")
movie_reader = filter(lambda p: "" != p["movie_name"], movie_reader_temp)
# First, list all movies with watched type so that watchlist entry for them is not created
watchedList = []
for row in movieReader:
watched_list = []
for row in movie_reader:
if row["type"] == "watch":
watchedList.append(row["movie_name"])
watched_list.append(row["movie_name"])
# Move position to the beginning of the file
csvfile.seek(0, 0)
# Get the total amount of rows in the CSV file,
rowsTotal = len(list(movieReader))
rows_total = len(list(movie_reader))
# Move position to the beginning of the file
csvfile.seek(0, 0)
# Loop through each line/record of the CSV file
# Ignore the header row
next(movieReader, None)
for rowsCount, row in enumerate(movieReader):
next(movie_reader, None)
for rows_count, row in enumerate(movie_reader):
# Get the name of the Movie
movieName = row["movie_name"]
movie_name = row["movie_name"]
# Get the date which the movie was marked 'watched' in TV Time
activityType = row["type"]
movieDateWatched = row["updated_at"]
activity_type = row["type"]
movie_date_watched = row["updated_at"]
# Parse the watched date value into a Python type
movieDateWatchedConverted = datetime.strptime(
movieDateWatched, "%Y-%m-%d %H:%M:%S"
movie_date_watched_converted = datetime.strptime(
movie_date_watched, "%Y-%m-%d %H:%M:%S"
)
# Query the local database for previous entries indicating that
# the episode has already been imported in the past. Which will
# ease pressure on TV Time's API server during a retry of the import
# process, and just save time overall without needing to create network requests
movieQuery = Query()
queryResult = syncedMoviesTable.search(
(movieQuery.movie_name == movieName) & (movieQuery.type == "watched")
movie_query = Query()
query_result = syncedMoviesTable.search(
(movie_query.movie_name == movie_name) & (movie_query.type == "watched")
)
watchlistQuery = Query()
queryResultWatchlist = syncedMoviesTable.search(
(watchlistQuery.movie_name == movieName)
& (watchlistQuery.type == "watchlist")
watchlist_query = Query()
query_result_watchlist = syncedMoviesTable.search(
(watchlist_query.movie_name == movie_name)
& (watchlist_query.type == "watchlist")
)
# If the query returned no results, then continue to import it into Trakt
if len(queryResult) == 0:
if len(query_result) == 0:
# Create a repeating loop, which will break on success, but repeats on failures
while True:
# If movie is watched but this is an entry for watchlist, then skip
if movieName in watchedList and activityType != "watch":
if movie_name in watched_list and activity_type != "watch":
logging.info(
f"Skipping '{movieName}' to avoid redundant watchlist entry."
f"Skipping '{movie_name}' to avoid redundant watchlist entry."
)
break
# If more than 10 errors occurred in one streak, whilst trying to import the episode
# then give up, and move onto the next episode, but warn the user.
if errorStreak > 10:
if error_streak > 10:
logging.warning(
"An error occurred 10 times in a row... skipping episode..."
)
@ -695,51 +697,52 @@ def processMovies():
# Other developers share the service, for free - so be considerate of your usage.
time.sleep(DELAY_BETWEEN_EPISODES_IN_SECONDS)
# Search Trakt for the Movie matching TV Time's title value
traktMovieObj = getMovieByName(movieName)
trakt_movie_obj = get_movie_by_name(movie_name)
# If the method returned 'None', then this is an indication to skip the episode, and
# move onto the next one
if traktMovieObj is None:
if trakt_movie_obj is None:
break
# Show the progress of the import on-screen
logging.info(
f"({rowsCount + 1}/{rowsTotal}) - Processing '{movieName}'"
f"({rows_count + 1}/{rows_total}) - Processing '{movie_name}'"
)
if activityType == "watch":
traktMovieObj.mark_as_seen(movieDateWatchedConverted)
if activity_type == "watch":
trakt_movie_obj.mark_as_seen(movie_date_watched_converted)
# Add the episode to the local database as imported, so it can be skipped,
# if the process is repeated
syncedMoviesTable.insert(
{"movie_name": movieName, "type": "watched"}
{"movie_name": movie_name, "type": "watched"}
)
logging.info(f"Marked as seen")
elif len(queryResultWatchlist) == 0:
traktMovieObj.add_to_watchlist()
elif len(query_result_watchlist) == 0:
trakt_movie_obj.add_to_watchlist()
# Add the episode to the local database as imported, so it can be skipped,
# if the process is repeated
syncedMoviesTable.insert(
{"movie_name": movieName, "type": "watchlist"}
{"movie_name": movie_name, "type": "watchlist"}
)
logging.info(f"Added to watchlist")
else:
logging.warning(f"Already in watchlist")
# Clear the error streak on completing the method without errors
errorStreak = 0
error_streak = 0
break
# Catch errors which occur because of an incorrect array index. This occurs when
# an incorrect Trakt movie has been selected, with season/episodes which don't match TV Time.
# It can also occur due to a bug in Trakt Py, whereby some seasons contain an empty array of episodes.
except IndexError:
movieSlug = traktMovieObj.to_json()["movies"][0]["ids"]["ids"][
movie_slug = trakt_movie_obj.to_json()["movies"][0]["ids"]["ids"][
"slug"
]
logging.warning(
f"({rowsCount}/{rowsTotal}) - {movieName} does not exist in Trakt! (https://trakt.tv/movies/{movieSlug}/)"
f"({rows_count}/{rows_total}) - {movie_name} "
f"does not exist in Trakt! (https://trakt.tv/movies/{movie_slug}/)"
)
break
# Catch any errors which are raised because a movie could not be found in Trakt
except trakt.errors.NotFoundException:
logging.warning(
f"({rowsCount}/{rowsTotal}) - {movieName} does not exist (search) in Trakt!"
f"({rows_count}/{rows_total}) - {movie_name} does not exist (search) in Trakt!"
)
break
# Catch errors because of the program breaching the Trakt API rate limit
@ -752,11 +755,11 @@ def processMovies():
time.sleep(60)
# Mark the exception in the error streak
errorStreak += 1
error_streak += 1
# Catch a JSON decode error - this can be raised when the API server is down and produces a HTML page, instead of JSON
except json.decoder.JSONDecodeError:
logging.warning(
f"({rowsCount}/{rowsTotal}) - A JSON decode error occuring whilst processing {movieName} "
f"({rows_count}/{rows_total}) - A JSON decode error occuring whilst processing {movie_name} "
+ f" This might occur when the server is down and has produced "
+ "a HTML document instead of JSON. The script will wait 60 seconds before trying again."
)
@ -765,7 +768,7 @@ def processMovies():
time.sleep(60)
# Mark the exception in the error streak
errorStreak += 1
error_streak += 1
# Catch a CTRL + C keyboard input, and exits the program
except KeyboardInterrupt:
sys.exit("Cancel requested...")
@ -773,7 +776,7 @@ def processMovies():
# Skip the episode
else:
logging.info(
f"({rowsCount}/{rowsTotal}) - Already imported, skipping '{movieName}'."
f"({rows_count}/{rows_total}) - Already imported, skipping '{movie_name}'."
)
@ -787,38 +790,38 @@ def start():
while True:
try:
menuSelection = input("Enter your menu selection: ")
menuSelection = 3 if not menuSelection else int(menuSelection)
menu_selection = input("Enter your menu selection: ")
menu_selection = 3 if not menu_selection else int(menu_selection)
break
except ValueError:
logging.warning("Invalid input. Please enter a numerical number.")
# Check if the input is valid
if not 1 <= menuSelection <= 4:
if not 1 <= menu_selection <= 4:
logging.warning("Sorry - that's an unknown menu selection")
exit()
# Exit if the 4th option was chosen
if menuSelection == 4:
if menu_selection == 4:
logging.info("Exiting as per user's selection.")
exit()
# Create the initial authentication with Trakt, before starting the process
if initTraktAuth():
if init_trakt_auth():
# Start the process which is required
if menuSelection == 1:
if menu_selection == 1:
# Invoke the method which will import episodes which have been watched
# from TV Time into Trakt
logging.info("Processing watched shows.")
processWatchedShows()
process_watched_shows()
# TODO: Add support for followed shows
elif menuSelection == 2:
elif menu_selection == 2:
# Invoke the method which will import movies which have been watched
# from TV Time into Trakt
logging.info("Processing movies.")
processMovies()
elif menuSelection == 3:
process_movies()
elif menu_selection == 3:
# Invoke both the episodes and movies import methods
logging.info("Processing both watched shows and movies.")
processWatchedShows()
processMovies()
process_watched_shows()
process_movies()
else:
logging.error(
"ERROR: Unable to complete authentication to Trakt - please try again."