def __init__(self, database: str, *paths: Path,
**kwargs: Mapping[str, int]) -> None:
"""
:param database:
:param paths:
:param kwargs:
"""
collection = [] # type: Any
self._database = database # type: str
self._genres = kwargs.get("genres",
{"Rock": 9}) # type: Mapping[str, int]
self._languages = kwargs.get("languages",
{"English", 1}) # type: Mapping[str, int]
self._providers = kwargs.get("providers",
{}) # type: Mapping[str, int]
for extension, group in filter(
contains_(".ape", ".flac", ".wv")(lower_(itemgetter(0))),
groupby(self._get_files(*paths), key=attrgetter("suffix"))):
for file in group:
collection.append(iter(self.MAPPING[extension](file)))
collection = [
list(filter(itemgetter_(0)(partial(contains, self.TAGS)), item))
for item in collection
]
self._collection = list(starmap(self.__update,
collection)) # type: Any
def format_(*iterables: List[str]) -> Iterator[Tuple[str, int]]:
"""
:param iterables:
:return:
"""
# 1. Compress collection. Keep only file and last change UTC date.
files = [tuple(compress(file, [0, 0, 1, 1, 0]))
for file in iterables] # type: Any
# 2. Filter collection. Keep only FLAC files.
files = filter(itemgetter_(0)(match_(arguments.pattern.search)), files)
# 3. Convert last change UTC date into timestamp.
files = map_(1)(get_timestamp)(*files)
# 4. Remove duplicate files. Keep only the most recent last change UTC date for every file.
files = {
key: list(group)
for key, group in groupby(files, key=itemgetter(0))
}
for key, values in files.items():
files[key] = values
if len(values) > 1:
files[key] = [(key, max(itemgetter(1)(value))) for value in values]
# 5. Yield collection content.
for _, container in files.items():
for file, ts in container:
yield file, ts
def fromfile(cls, fil: str, enc: str = UTF16):
with open(fil, encoding=enc) as stream:
tags = csv.reader(stream, dialect=CustomDialect()) # type: Any
tags = filterfalse(
decorators.itemgetter_(0)(partial(eq_string_, "encoder+")),
tags)
tags = [(decorators.rstrip_(
decorators.lower_(callables.group_(1)(cls.REGEX.match)))(key),
value) for key, value in tags]
return cls(**dict(tags))
def __call__(self, parsobj, namespace, values, option_string=None):
"""
:param parsobj:
:param namespace:
:param values:
:param option_string:
:return:
"""
# Tous les scripts associés au workspace sont sélectionnés par défaut.
# Les scripts n'appartenant pas au workspace sont éliminés si une liste de scripts est reçue par le programme.
targets = filter(
itemgetter_(1)(partial(eq, namespace.workspace)),
namespace.config.items()) # type: Any
if values:
targets = filter(
itemgetter_(0)(partial(contains, values)), targets)
targets = [compress(target, [1, 0]) for target in targets]
setattr(namespace, self.dest, list(chain.from_iterable(targets)))
def __init__(self, database: str, *paths: Path,
**kwargs: Mapping[str, int]) -> None:
"""
:param database:
:param paths:
:param kwargs:
"""
super(DefaultTrack, self).__init__(database, *paths, **kwargs)
tracks = starmap(self._update, self._collection) # type: Any
# -----
_ok, self._ko = partitioner(tracks, predicate=eq_(
self.LENGTH)(len)) # type: Any, Any
_, _ok = partitioner(_ok, predicate=none_(itemgetter_(11)))
# -----
tracks = sorted(set(_ok), key=itemgetter(20))
tracks = sorted(tracks, key=itemgetter(9))
tracks = sorted(tracks, key=itemgetter(2))
tracks = [self.TRACKS(*track) for track in tracks]
self._collection = list(tracks)
arguments = parser.parse_args()
# ================
# Local functions.
# ================
rjustify = partial(rjustify_index, width=4)
# =======================
# Templating environment.
# =======================
template = TemplatingEnvironment(_MYPARENT / "Templates")
template.set_environment(filters={"rjustify": rjustify})
# ============
# Main script.
# ============
stream = csv.reader(arguments.collection, CustomDialect())
collection = [(Path(image),
format_date(LOCAL.localize(parse(datetime.replace(":", '-',
2))),
template=TEMPLATE2),
int(parse(datetime.replace(":", '-', 2)).timestamp()))
for image, datetime in stream] # type: Any
collection = sorted(collection, key=itemgetter(2))
collection = sorted(collection, key=itemgetter_(0)(attrgetter("parent")))
collection = enumerate(collection, start=1)
collection = [((index, ), tuple(compress(file, [1, 1, 0])))
for index, file in collection]
collection = [tuple(chain.from_iterable(item)) for item in collection]
print(template.get_template("T01").render(collection=collection))
# Parse arguments.
arguments = vars(tags_grabber.parse_args())
# Get audio tags processing profile.
with open(_MYPARENT.parent / "Resources" / "profiles.yml", encoding=UTF8) as stream:
tags_config = yaml.load(stream, Loader=yaml.FullLoader)[arguments.get("tags_processing", "default")]
# Configure logging.
if tags_config.get("debug", False):
with open(_MYPARENT.parents[1] / "Resources" / "logging.yml", encoding=UTF8) as stream:
log_config = yaml.load(stream, Loader=yaml.FullLoader)
for item in LOGGERS:
with suppress(KeyError):
log_config["loggers"][item]["level"] = "DEBUG"
logging.config.dictConfig(log_config)
logger = logging.getLogger("MyPythonProject.AudioCD.Grabber.{0}".format(splitext(basename(abspath(__file__)))[0]))
logger.debug(mainscript(__file__))
# Process tags from input file.
value, _ = upsert_audiotags(arguments["profile"],
arguments["source"],
arguments["sequence"],
*arguments.get("decorators", ()),
genres=CustomAudioGenres(),
languages=CustomAudioLanguages(),
**dict(filterfalse(itemgetter_()(partial(contains, ["debug", "console"])), tags_config.items())))
sys.exit(value)
# Get target destination path.
destination = root.xpath("medium")[0].get("path").replace(
"//", "/")
# Get target filters.
regexes = [
regex.get("rgpattern").replace(">", ">")
for regex in root.xpath("filter_group/regex_filter")
]
# Append target to collection.
collection.append(
(workspace, uid, name, source, destination, regexes))
# Sort targets collection.
collection = sorted(collection, key=itemgetter_(1)(int))
collection = sorted(collection, key=itemgetter(2))
collection = sorted(collection, key=itemgetter(0))
# Dump targets configuration into a JSON file.
json.dump([
dict([("workspace", workspace), ("description", name),
("target", uid)]) for workspace, uid, name, _, _, _ in collection
],
json_file,
ensure_ascii=False,
indent=4)
# Dump targets configuration into a TXT file.
main_content = [
] # type: List[Tuple[str, str, str, List[List[Tuple[str, ...]]]]]
_ME = Path(os.path.abspath(__file__))
_MYNAME = Path(os.path.abspath(__file__)).stem
_MYPARENT = Path(os.path.abspath(__file__)).parent
# ===========
# Main logic.
# ===========
REGEX = re.compile(r"^(\d(\d)?)(/.+)?$")
encoder, tracknumber = "", "0" # type: str
with open(sys.argv[1], encoding="UTF_16") as stream:
collection = list(
csv.reader(stream,
delimiter="=",
quoting=csv.QUOTE_NONE,
lineterminator="\r\n",
doublequote=False)) # type: Any
if collection:
collection = filterfalse(
itemgetter_(0)(partial(eq_string_, "encoder+")), collection)
collection = dict(collection)
track = collection.get("Track", collection.get("track")) # type: str
match = REGEX.match(track)
if match:
tracknumber = match.group(1)
encoder = collection.get("Encoder", collection.get("encoder",
"")) # type: str
if encoder:
encoder = encoder.split()[0]
print(tracknumber)
print(encoder)
status, codes, = 100, [] # type: int, List[int]
# ===============
# Main algorithm.
# ===============
arguments = GetConfig.get_fromjsonfile(_THATFILE.parent / "backup.json")
parser.parse_args(namespace=arguments)
# --------------------
# 1. Log input arguments.
# --------------------
# 1.a. Targets available in JSON reference file.
logger.debug("Configured targets.")
for target, workspace in sorted(sorted(arguments.config.items(),
key=itemgetter_()(int)),
key=operator.itemgetter(1)):
logger.debug("\t%s: %s.".expandtabs(TABS), target, workspace)
# 1.b. Targets given by parser.
logger.debug("Processed targets.")
if arguments.targets:
for target in sorted(arguments.targets, key=int):
logger.debug("\t%s.".expandtabs(TABS), target)
elif not arguments.targets:
logger.debug(
"\tAny coherent target hasn\'t been given: backup can\'t be processed!"
.expandtabs(TABS))
# ------------------
# 2. Process arguments.
artistsort = data.text
if all([any([artist, artistsort]), album, albumsort, disc, genre, utc_played]):
albumid = None
if artist:
albumid = f"{artist[0]}.{artist}"
if artistsort:
albumid = f"{artistsort[0]}.{artistsort}"
if albumid:
collection.append((f"{albumid}.{albumsort[:-3]}.{disc}", utc_played, genre, albumsort[:-3], album))
# 2. Sort collection by ascending artist then descending played date.
collection = sorted(sorted(collection, key=itemgetter(1), reverse=True), key=itemgetter(0))
# 3. Remove albums played prior to the last run date.
collection = filter(itemgetter_(1)(partial(le, pytz.timezone("UTC").localize(utc_run))), collection)
# 4. Remove albums without a compliant genre.
collection = filter(itemgetter_(2)(partial(contains, GENRES)), collection)
# 5. Remove albums without a compliant albumsort.
collection = filter(itemgetter_(3)(partial(valid_albumsort_)), collection)
# 6. Remove albums absent from the local audio database.
collection = filter(itemgetter_(0)(partial(contains, list(get_disc_(arguments.db)))), collection)
# 7. Map UTC datetime to local datetime.
# update_playeddisccount assumes that datetime is local and converts therefore to UTC.
collection = map_(1)(localize_)(*collection)
# 8. Remove both genre and albumsort from the collection.
# Jinja2 environment.
# ===================
environment = TemplatingEnvironment(_MYPARENT.parent / "Templates")
# ============
# Main script.
# ============
collection: Any = sorted(
shared.get_targets(
Path(os.path.expandvars("%_BACKUP%")) / "workspace.music"),
key=itemgetter(0)
) # (target1, 1234), (target2, 5678), (target3, 9012), (target4, 3456), ...
# -----
collection1: Any = filter(
itemgetter_(0)(match_(
re.compile(r"\bspringsteen\b", re.IGNORECASE).search)),
collection) # (target1, 1234), (target2, 5678), ...
collection1 = list(
shared.format_collection(*sorted(collection1, key=itemgetter(
0)))) # (target1, 1, 1234), (target2, 2, 5678), ...
# -----
collection2: Any = filter(
itemgetter_(0)(match_(re.compile(r"\bpearl jam\b", re.IGNORECASE).search)),
collection) # (target3, 9012), (target4, 3456), ...
collection2 = list(
shared.format_collection(*sorted(collection2, key=itemgetter(0)),
start=len(collection1) +
1)) # (target3, 3, 9012), (target4, 4, 3456), ...
# -----