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我試圖解析來自使用musicbrainzngs模塊從Musicbrainz收到的大JSON類Python字典中的數據。下面是一個漂亮格式的這種類型的字典的示例。使用長索引檢查字典/列表項是否存在
{ 'artist-credit': [ { 'artist': { 'id': '0039c7ae-e1a7-4a7d-9b49-0cbc716821a6',
'name': 'Death Cab for Cutie',
'sort-name': 'Death Cab for Cutie'}}],
'artist-credit-phrase': 'Death Cab for Cutie',
'asin': 'B0000D1FDI',
'barcode': '655173103227',
'country': 'US',
'cover-art-archive': { 'artwork': 'true',
'back': 'false',
'count': '1',
'front': 'true'},
'date': '2003-10-07',
'id': 'e602a3ae-fe8f-4abd-8638-f055517bacb2',
'label-info-count': 1,
'label-info-list': [ { 'catalog-number': 'bark32',
'label': { 'id': 'a4f904e0-f048-4c13-88ec-f9f31f3e6109',
'name': 'Barsuk Records',
'sort-name': 'Barsuk Records'}}],
'medium-count': 1,
'medium-list': [ { 'disc-count': 4,
'disc-list': [ { 'id': '5G2zzIza.oA1Y3XpMHxuohbzazQ-',
'offset-count': 11,
'offset-list': [ 150,
18780,
34698,
51295,
70286,
80376,
100160,
135944,
152723,
166122,
191235],
'sectors': '207432'},
{ 'id': '8XGkh_GqZPv6rL8W1c6_t9fQKhw-',
'offset-count': 11,
'offset-list': [ 150,
18933,
35005,
51755,
70899,
81142,
101079,
137017,
153949,
167501,
192767],
'sectors': '208967'},
{ 'id': 'AptsPDTKO.nMoE_GRmqGZSWjT7g-',
'offset-count': 11,
'offset-list': [ 150,
18635,
34405,
50855,
69697,
79638,
99273,
134905,
151535,
164791,
189759],
'sectors': '205963'},
{ 'id': 'scc32yarsl41ysxMw43_1Pk8n3M-',
'offset-count': 11,
'offset-list': [ 150,
18628,
34394,
50839,
69678,
79616,
99248,
134880,
151507,
164754,
189715],
'sectors': '205910'}],
'format': 'CD',
'position': '1',
'track-count': 11,
'track-list': [ { 'id': 'd65135d9-d917-3c04-9a3e-1a9f3f75dbdf',
'length': '246400',
'number': '1',
'position': '1',
'recording': { 'id': '2aefb5c8-f137-4289-b9f9-e78d23695468',
'length': '246400',
'title': 'The New '
'Year'},
'track_or_recording_length': '246400'},
{ 'id': 'bdff5634-4743-3957-9a2c-285af885fd56',
'length': '210240',
'number': '2',
'position': '2',
'recording': { 'id': '60d3363b-7cc4-4675-a85b-692683054ff2',
'length': '210213',
'title': 'Lightness'},
'track_or_recording_length': '210240'},
{ 'id': '41aec2a4-4ecb-30c0-9052-099a504c1623',
'length': '219280',
'number': '3',
'position': '3',
'recording': { 'id': '6c077d47-09ae-4059-b025-d48f48710f92',
'length': '219000',
'title': 'Title '
'and '
'Registration'},
'track_or_recording_length': '219280'},
{ 'id': 'b28ef069-7bca-3a43-a3a2-dcd123652d2e',
'length': '251200',
'number': '4',
'position': '4',
'recording': { 'id': '143b3d2e-82d6-4fbc-afd4-5ac8b8e2ffe6',
'length': '251187',
'title': 'Expo ’86'},
'track_or_recording_length': '251200'},
{ 'id': 'c329e654-8866-3a78-939d-3cb8368f1de6',
'length': '132520',
'number': '5',
'position': '5',
'recording': { 'id': '59403f9d-722a-48c3-aedb-6c1bb6102668',
'length': '132520',
'title': 'The '
'Sound '
'of '
'Settling'},
'track_or_recording_length': '132520'},
{ 'id': '469bbe0a-8ac9-38f9-8998-17ab0bdd8cb4',
'length': '261773',
'number': '6',
'position': '6',
'recording': { 'id': 'a594b2c7-5e4f-4e81-9cda-91bab05da25e',
'length': '261773',
'title': 'Tiny '
'Vessels'},
'track_or_recording_length': '261773'},
{ 'id': '9ac716d8-e9a2-3b7f-9588-ef5b91b00925',
'length': '475120',
'number': '7',
'position': '7',
'recording': { 'id': '9472186f-ec6d-48d1-9a47-4bc6e922cffe',
'length': '475093',
'title': 'Transatlanticism'},
'track_or_recording_length': '475120'},
{ 'id': 'a37ec190-9dde-3c23-8d2d-a561afe56a3a',
'length': '221706',
'number': '8',
'position': '8',
'recording': { 'id': '6dfcacb8-f767-43af-9645-9c9dd39eeb44',
'length': '221706',
'title': 'Passenger '
'Seat'},
'track_or_recording_length': '221706'},
{ 'id': '46eecfc9-e7a3-3d73-acb1-02a5b13d3831',
'length': '176640',
'number': '9',
'position': '9',
'recording': { 'id': 'e2a42ced-3f08-4012-ad7c-8c215da8a2a1',
'length': '176640',
'title': 'Death '
'of an '
'Interior '
'Decorator'},
'track_or_recording_length': '176640'},
{ 'id': 'b3e21529-72fb-30bd-b4b8-22e7c7c9a411',
'length': '332826',
'number': '10',
'position': '10',
'recording': { 'id': '70cf7264-1053-4afc-ace8-81cd24cc6391',
'length': '332826',
'title': 'We '
'Looked '
'Like '
'Giants'},
'track_or_recording_length': '332826'},
{ 'id': '8b3e26c5-978b-35f2-8b2b-7e2574ae37bf',
'length': '215294',
'number': '11',
'position': '11',
'recording': { 'id': 'a9f6ea4c-06a9-46a4-9a67-667617b0fe6a',
'length': '216000',
'title': 'A Lack '
'of Color'},
'track_or_recording_length': '215294'}]}],
'packaging': 'Jewel Case',
'quality': 'normal',
'release-event-count': 1,
'release-event-list': [ { 'area': { 'id': '489ce91b-6658-3307-9877-795b68554c98',
'iso-3166-1-code-list': ['US'],
'name': 'United States',
'sort-name': 'United States'},
'date': '2003-10-07'}],
'status': 'Official',
'text-representation': {'language': 'eng', 'script': 'Latn'},
'title': 'Transatlanticism'}
我想解析特定位信息的字典。例如，我有下面的字典，其中填充了數據的一般描述作爲關鍵字，然後通過列表和字典的長索引導致我想要的數據。對於這個例子，假設release_dict是來自上面的數據。
album_info = {
"album_title": release_dict['title'],
"album_artist": release_dict['artist-credit'][0]['artist']['name'],
"artist": release_dict['artist-credit'][0]['artist']['name'],
"release_date": release_dict['date'],
"track_total": release_dict['medium-list'][disc_number]['track-count'],
"release_label": release_dict['label-info-list'][0]['label']['name'],
}
問題是，從musicbrainzngs傳回的數據並不總是相同的。例如，導致「release_label」的索引可能不存在。我能想到的處理這個問題的唯一合理的方法是使嘗試語句爲每一個標籤，像這樣：
album_dict = {}
try:
album_dict["album_title"] = release_dict['title']
except KeyError:
print("Value for 'album_title' not found.")
和所有其他標籤做同樣的。但是我真的更喜歡以某種方式遍歷每個標籤，以使代碼更加乾爽和安全。
我能想到的唯一解決方案是製作一個讀取索引字符串（即"['artist-credit'][0]['artist']['name']"）的函數，它會讀取它並檢查每個部分是否存在，但我認爲這可能對此有點矯枉過正問題。
無論如何，我只是想製作一段代碼，儘可能多地從原始元數據中獲取信息。如果您有任何想法，我願意接受所有裁決。並感謝您的幫助提前。
謝謝，這正是我所尋找的。 – tedm1106