mirror of
https://github.com/moparisthebest/SickRage
synced 2024-12-14 20:12:19 -05:00
0d9fbc1ad7
This version of SickBeard uses both TVDB and TVRage to search and gather it's series data from allowing you to now have access to and download shows that you couldn't before because of being locked into only what TheTVDB had to offer. Also this edition is based off the code we used in our XEM editon so it does come with scene numbering support as well as all the other features our XEM edition has to offer. Please before using this with your existing database (sickbeard.db) please make a backup copy of it and delete any other database files such as cache.db and failed.db if present, we HIGHLY recommend starting out with no database files at all to make this a fresh start but the choice is at your own risk! Enjoy!
114 lines
4.2 KiB
Python
114 lines
4.2 KiB
Python
"""
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IPTC metadata parser (can be found in a JPEG picture for example)
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Sources:
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- Image-MetaData Perl module:
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http://www.annocpan.org/~BETTELLI/Image-MetaData-JPEG-0.15/...
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...lib/Image/MetaData/JPEG/TagLists.pod
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- IPTC tag name and description:
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http://peccatte.karefil.com/software/IPTCTableau.pdf
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Author: Victor Stinner
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"""
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from lib.hachoir_core.field import (FieldSet, ParserError,
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UInt8, UInt16, String, RawBytes, NullBytes)
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from lib.hachoir_core.text_handler import textHandler, hexadecimal
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def IPTC_String(parent, name, desc=None):
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# Charset may be utf-8, ISO-8859-1, or ...
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return String(parent, name, parent["size"].value, desc,
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strip=" ")
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dataset1 = {
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}
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dataset2 = {
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0: ("record_version", "Record version (2 for JPEG)", UInt16),
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5: ("obj_name", "Object name", None),
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7: ("edit_stat", "Edit status", None),
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10: ("urgency", "Urgency", UInt8),
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15: ("category[]", "Category", None),
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22: ("fixture", "Fixture identifier", IPTC_String),
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25: ("keyword[]", "Keywords", IPTC_String),
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30: ("release_date", "Release date", IPTC_String),
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35: ("release_time", "Release time", IPTC_String),
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40: ("instruction", "Special instructions", IPTC_String),
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55: ("date_created", "Date created", IPTC_String),
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60: ("time_created", "Time created (ISO 8601)", IPTC_String),
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65: ("originating_prog", "Originating program", IPTC_String),
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70: ("prog_ver", "Program version", IPTC_String),
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80: ("author", "By-line (Author)", IPTC_String),
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85: ("author_job", "By-line (Author precision)", IPTC_String),
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90: ("city", "City", IPTC_String),
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95: ("state", "Province / State", IPTC_String),
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100: ("country_code", "Country / Primary location code", IPTC_String),
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101: ("country_name", "Country / Primary location name", IPTC_String),
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103: ("trans_ref", "Original transmission reference", IPTC_String),
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105: ("headline", "Headline", IPTC_String),
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110: ("credit", "Credit", IPTC_String),
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115: ("source", "Source", IPTC_String),
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116: ("copyright", "Copyright notice", IPTC_String),
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120: ("caption", "Caption/Abstract", IPTC_String),
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122: ("writer", "Writer/editor", IPTC_String),
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231: ("history[]", "Document history (timestamp)", IPTC_String)
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}
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datasets = {1: dataset1, 2: dataset2}
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class IPTC_Size(FieldSet):
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def __init__(self, *args, **kw):
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FieldSet.__init__(self, *args, **kw)
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value = 0
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for field in self:
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value <<= 15
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value += (field.value & 0x7fff)
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self.createValue = lambda: value
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def createFields(self):
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while True:
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field = UInt16(self, "value[]")
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yield field
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if field.value < 0x8000:
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break
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class IPTC_Chunk(FieldSet):
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def __init__(self, *args, **kw):
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FieldSet.__init__(self, *args, **kw)
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number = self["dataset_nb"].value
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self.dataset_info = None
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if number in datasets:
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tag = self["tag"].value
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if tag in datasets[number]:
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self.dataset_info = datasets[number][tag]
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self._name = self.dataset_info[0]
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self._description = self.dataset_info[1]
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size_chunk = self["size"]
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self._size = 3*8 + size_chunk.size + size_chunk.value*8
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def createFields(self):
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yield textHandler(UInt8(self, "signature", "IPTC signature (0x1c)"), hexadecimal)
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if self["signature"].value != 0x1C:
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raise ParserError("Wrong IPTC signature")
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yield textHandler(UInt8(self, "dataset_nb", "Dataset number"), hexadecimal)
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yield UInt8(self, "tag", "Tag")
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yield IPTC_Size(self, "size", "Content size")
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size = self["size"].value
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if 0 < size:
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if self.dataset_info:
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cls = self.dataset_info[2]
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else:
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cls = None
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if cls:
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yield cls(self, "content")
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else:
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yield RawBytes(self, "content", size)
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class IPTC(FieldSet):
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def createFields(self):
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while 5 <= (self._size - self.current_size)/8:
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yield IPTC_Chunk(self, "chunk[]")
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size = (self._size - self.current_size) / 8
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if 0 < size:
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yield NullBytes(self, "padding", size)
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