Django 从 JSON 数据中获取价值

Question

我正在尝试使用开放的 fda API。到目前为止一切正常。嵌套 JSON 数据出现问题。

这是我的 Json 数据：

{
      "seriousnessother": "1",
      "reportduplicate": {
        "duplicatenumb": "US-BRISTOL-MYERS SQUIBB COMPANY-BMS-2017-086135",
        "duplicatesource": "BRISTOL MYERS SQUIBB"
      },
      "safetyreportversion": "1",
      "receiptdate": "20170927",
      "duplicate": "1",
      "seriousnessdeath": "1",
      "receivedate": "20170927",
      "patient": {
        "reaction": [
          {
            "reactionmeddrapt": "Death",
            "reactionmeddraversionpt": "20.1",
            "reactionoutcome": "5"
          },
          {
            "reactionmeddrapt": "Product use in unapproved indication",
            "reactionmeddraversionpt": "20.1",
            "reactionoutcome": "6"
          }
        ],
        "patientsex": "1",
        "drug": [
          {
            "drugstartdateformat": "102",
            "medicinalproduct": "OPDIVO",
            "drugindication": "COLORECTAL CANCER",
            "drugcharacterization": "1",
            "drugadministrationroute": "065",
            "drugenddateformat": "102",
            "drugseparatedosagenumb": "1",
            "drugstructuredosageunit": "032",
            "openfda": {
              "manufacturer_name": [
                "E.R. Squibb & Sons, L.L.C."
              ],
              "unii": [
                "31YO63LBSN"
              ],
              "product_type": [
                "HUMAN PRESCRIPTION DRUG"
              ],
              "spl_set_id": [
                "f570b9c4-6846-4de2-abfa-4d0a4ae4e394"
              ],
              "route": [
                "INTRAVENOUS"
              ],
              "generic_name": [
                "NIVOLUMAB"
              ],
              "brand_name": [
                "OPDIVO"
              ],
              "product_ndc": [
                "0003-3772",
                "0003-3734",
                "0003-3774"
              ],
              "pharm_class_epc": [
                "Programmed Death Receptor-1 Blocking Antibody [EPC]"
              ],
              "substance_name": [
                "NIVOLUMAB"
              ],
              "spl_id": [
                "2d33126d-5115-459e-bcaf-d0ace4fbe94e"
              ],
              "pharm_class_moa": [
                "Programmed Death Receptor-1-directed Antibody Interactions [MoA]"
              ],
              "application_number": [
                "BLA125554"
              ],
              "nui": [
                "N0000191259",
                "N0000191260"
              ],
              "package_ndc": [
                "0003-3734-13",
                "0003-3772-11",
                "0003-3774-12"
              ]
            },
            "drugstructuredosagenumb": "1",
            "drugintervaldosageunitnumb": "2",
            "drugstartdate": "20160907",
            "actiondrug": "5",
            "activesubstance": {
              "activesubstancename": "NIVOLUMAB"
            },
            "drugintervaldosagedefinition": "803",
            "drugauthorizationnumb": "125554",
            "drugrecurreadministration": "3",
            "drugdosagetext": "1 DF, Q2WK",
            "drugenddate": "20161222",
            "drugadditional": "3"
          }
        ]
      },
      "occurcountry": "US",
      "reporttype": "1",
      "companynumb": "US-BRISTOL-MYERS SQUIBB COMPANY-BMS-2017-086135",
      "safetyreportid": "14015990",
      "sender": {
        "senderorganization": "FDA-Public Use",
        "sendertype": "2"
      },
      "transmissiondate": "20171128",
      "fulfillexpeditecriteria": "1",
      "transmissiondateformat": "102",
      "receiptdateformat": "102",
      "receiver": {
        "receiverorganization": "FDA",
        "receivertype": "6"
      },
      "serious": "1",
      "receivedateformat": "102",
      "primarysource": {
        "reportercountry": "US",
        "qualification": "5"
      },
      "primarysourcecountry": "US"
    }

这是我调用此数据并转换为 Django 数据的视图。

json_data = open('/users/downloads/drug-bad.json').read()
    response = json.loads(json_data)
    a=0
    b=0
    for data in response['results']:
        #try:
            seriousnessother = data.get('seriousnessother')
            reportduplicate_duplicatenumb = data['reportduplicate'].get('duplicatenumb')
            reportduplicate_duplicatesource = data['reportduplicate'].get('duplicatesource')
            safetyreportversion = data.get('safetyreportversion')
            receiptdate = data.get('receiptdate')
            duplicate = data.get('duplicate')
            seriousnessdeath = data.get('seriousnessdeath')
            receivedate = data.get('receivedate')
            patient_reaction_reactionmeddrapt = data['patient']['reaction'].get('reactionmeddrapt')
            patient_reaction_reactionmeddraversionpt = data['patient']['reaction'].get('reactionmeddraversionpt')
            patient_reaction_reactionoutcome = data['patient']['reaction'].get('reactionoutcome')
            patient_patientsex = data['patient'].get('patientsex')
            patient_drug_medicinalproduct = data['patient']['drug'].get('medicinalproduct')
            patient_drug_drugindication = data['patient']['drug'].get('drugindication')
            patient_drug_drugcharacterization = data['patient']['drug'].get('drugcharacterization')
            patient_drug_drugadministrationroute = data['patient']['drug'].get('drugadministrationroute')
            patient_drug_drugseparatedosagenumb = data['patient']['drug'].get('drugseparatedosagenumb')
            patient_drug_drugstructuredosageunit = data['patient']['drug'].get('drugstructuredosageunit')
            patient_drug_openfda_manufacturer_name = data['patient']['drug']['openfda']['manufacturer'].get('name')
            patient_drug_openfda_unii = data['patient']['drug']['openfda'].get('unii')
            patient_drug_openfda_product_type = data['patient']['drug']['openfda']['product'].get('type')
            patient_drug_openfda_spl_set_id = data['patient']['drug']['openfda']['spl']['set'].get('id')
            patient_drug_openfda_route = data['patient']['drug']['openfda'].get('route')
            patient_drug_openfda_generic_name = data['patient']['drug']['openfda']['generic'].get('name')
            patient_drug_openfda_brand_name = data['patient']['drug']['openfda']['brand'].get('name')
            patient_drug_openfda_product_ndc = data['patient']['drug']['openfda']['product'].get('ndc')
            patient_drug_openfda_pharm_class_epc = data['patient']['drug']['openfda']['pharm']['class'].get('epc')
            patient_drug_openfda_substance_name = data['patient']['drug']['openfda']['substance'].get('name')
            patient_drug_openfda_spl_id = data['patient']['drug']['openfda']['spl'].get('id')
            patient_drug_openfda_pharm_class_moa = data['patient']['drug']['openfda']['pharm']['class'].get('moa')
            patient_drug_openfda_application_number = data['patient']['drug']['openfda']['application'].get('number')
            patient_drug_openfda_nui = data['patient']['drug']['openfda'].get('nui')
            patient_drug_openfda_package_ndc = data['patient']['drug']['openfda']['package'].get('ndc')
            patient_drug_drugstructuredosagenumb = data['patient']['drug'].get('drugstructuredosagenumb')
            patient_drug_drugintervaldosageunitnumb = data['patient']['drug'].get('drugintervaldosageunitnumb')
            patient_drug_drugstartdate = data['patient']['drug'].get('drugstartdate')
            patient_drug_actiondrug = data['patient']['drug'].get('actiondrug')
            patient_drug_activesubstance_activesubstancename = data['patient']['drug']['activesubstance'].get('activesubstancename')
            patient_drug_drugintervaldosagedefinition = data['patient']['drug'].get('drugintervaldosagedefinition')
            patient_drug_drugauthorizationnumb = data['patient']['drug'].get('drugauthorizationnumb')
            patient_drug_drugrecurreadministration = data['patient']['drug'].get('drugrecurreadministration')
            patient_drug_drugdosagetext = data['patient']['drug'].get('drugdosagetext')
            patient_drug_drugenddate = data['patient']['drug'].get('drugenddate')
            patient_drug_drugadditional = data['patient']['drug'].get('drugadditional')
            occurcountry = data.get('occurcountry')
            reporttype = data.get('reporttype')
            companynumb = data.get('companynumb')
            safetyreportid = data.get('safetyreportid')
            sender_senderorganization = data['sender'].get('senderorganization')
            sender_sendertype = data['sender'].get('sendertype')
            fulfillexpeditecriteria = data.get('fulfillexpeditecriteria')
            receiver_receiverorganization = data['receiver'].get('receiverorganization')
            receiver_receivertype = data['receiver'].get('receivertype')
            serious = data.get('serious')
            primarysource_reportercountry = data['primarysource'].get('reportercountry')
            primarysource_qualification = data['primarysource'].get('qualification')
            primarysourcecountry = data.get('primarysourcecountry')

我收到以下错误：

 patient_reaction_reactionmeddrapt = data['patient']['reaction'].get('reactionmeddrapt')
AttributeError: 'list' object has no attribute 'get'

请注意，响应结果中有很多数据。可能是结果之一没有患者字段。但是如果 get 方法不存在，它应该返回 None 。 我想要字段值或无。 它适用于简单的 Json 数据，但是当数组/列表中存在数组/列表时会出现错误。

Answer 1

鉴于您的输入 json：

"patient": {
    "reaction": [
      {
        "reactionmeddrapt": "Death",
        "reactionmeddraversionpt": "20.1",
        "reactionoutcome": "5"
      },
      {
        "reactionmeddrapt": "Product use in unapproved indication",
        "reactionmeddraversionpt": "20.1",
        "reactionoutcome": "6"
      }
    ],

“反应”的数据值是一个列表。同样据我了解，如果您没有“患者”的数据值，您希望获得“reactionmeddrap”属性值或无。

你可以这样做：

try:
    reactions = data['patient']['reaction']
except KeyError:
    return None
if reactions and isinstance(reactions, list):
    # Assuming you want to iterate over the list
    for reaction in reactions:
        reactionmeddrapt = reaction.get('reactionmeddrapt')

Answer 2

既然反应是列表，你应该这样做：

reactions = data['patient']['reaction']
if reactions and isinstance(reactions, list):
    for reaction in reactions:
        patient_reaction_reactionmeddrapt = reaction.get('reactionmeddrapt')
else:
    patient_reaction_reactionmeddrapt = data['patient']['reaction'].get('reactionmeddrapt')

而不是简单：

patient_reaction_reactionmeddrapt = data['patient']['reaction'].get('reactionmeddrapt')

data['patient']['reaction'] 在您的代码返回列表对象中。因此，您需要对其进行迭代以获取每个列表元素的reactionmeddrapt。