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",
            "FileName": "test.png"
        }
    ]
    return upload_document_files(files, file_type='png')


def upload_document_files(files, file_type='png'):
    return upload_files(files, file_type=file_type, business_type='DOCUMENT')


def upload_files(files, file_type='png', business_type='DOCUMENT'):
    # https://qian.tencent.com/developers/companyApis/templatesAndFiles/UploadFiles/
    try:
        # 实例化一个认证对象，入参需要传入腾讯云账户 SecretId 和 SecretKey，此处还需注意密钥对的保密
        # 代码泄露可能会导致 SecretId 和 SecretKey 泄露，并威胁账号下所有资源的安全性。以下代码示例仅供参考，建议采用更安全的方式来使用密钥，请参见：https://cloud.tencent.com/document/product/1278/85305
        # 密钥可前往官网控制台 https://console.cloud.tencent.com/cam/capi 进行获取
        cred = credential.Credential(secret_id, secret_key)
        # 实例化一个http选项，可选的，没有特殊需求可以跳过
        httpProfile = HttpProfile()
        httpProfile.endpoint = file_endpoint

        # 实例化一个client选项，可选的，没有特殊需求可以跳过
        clientProfile = ClientProfile()
        clientProfile.httpProfile = httpProfile
        # 实例化要请求产品的client对象,clientProfile是可选的
        client = ess_client.EssClient(cred, "", clientProfile)

        # 实例化一个请求对象,每个接口都会对应一个request对象
        req = models.UploadFilesRequest()
        params = {
            "FileType": file_type,
            "Caller": {
                "OperatorId": operator_id
            },
            "FileInfos": files,
            "BusinessType": business_type
        }
        req.from_json_string(json.dumps(params))

        # 返回的resp是一个DescribeFlowTemplatesResponse的实例，与请求对象对应
        resp = client.UploadFiles(req)
        # 输出json格式的字符串回包
        # print(resp.to_json_string())

    except TencentCloudSDKException as err:
        print(err)
        resp = {}

    return resp


def test_create_flow():
    class lensman:
        phone = '18888888888'
        identity_card_name = '张三'
        identity_card_number = '460005199605144313'

    FlowName = lensman.identity_card_name + "的投稿合同" + tc.local_string(format='%Y%m%d')
    FlowType = '活动投稿授权书'
    Approvers = [{
        "ApproverType": 1,
        "Required": True,
        "NotifyType": None,
        "ApproverMobile": lensman.phone,
        "ApproverName": lensman.identity_card_name,
        "ApproverIdCardType": "ID_CARD",
        "ApproverIdCardNumber": lensman.identity_card_number,
    }]
    return create_flow(flow_name=FlowName, flow_type=FlowType, approvers=Approvers)


def create_flow(flow_name=None, flow_type=None, approvers=None):
    # https://qian.tencent.com/developers/companyApis/startFlows/CreateFlow
    try:
        # 实例化一个认证对象，入参需要传入腾讯云账户 SecretId 和 SecretKey，此处还需注意密钥对的保密
        # 代码泄露可能会导致 SecretId 和 SecretKey 泄露，并威胁账号下所有资源的安全性。以下代码示例仅供参考，建议采用更安全的方式来使用密钥，请参见：https://cloud.tencent.com/document/product/1278/85305
        # 密钥可前往官网控制台 https://console.cloud.tencent.com/cam/capi 进行获取
        cred = credential.Credential(secret_id, secret_key)
        # 实例化一个http选项，可选的，没有特殊需求可以跳过
        httpProfile = HttpProfile()
        httpProfile.endpoint = endpoint

        # 实例化一个client选项，可选的，没有特殊需求可以跳过
        clientProfile = ClientProfile()
        clientProfile.httpProfile = httpProfile
        # 实例化要请求产品的client对象,clientProfile是可选的
        client = ess_client.EssClient(cred, "", clientProfile)

        # 实例化一个请求对象,每个接口都会对应一个request对象
        req = models.CreateFlowRequest()
        params = {
            "Operator": {
                "UserId": operator_id
            },
            "FlowName": flow_name,
            "FlowType": flow_type,
            "Approvers": approvers,
        }
        req.from_json_string(json.dumps(params))

        # 返回的resp是一个DescribeFlowTemplatesResponse的实例，与请求对象对应
        resp = client.CreateFlow(req)
        # 输出json格式的字符串回包
        # print(resp.to_json_string())

    except TencentCloudSDKException as err:
        print(err)
        resp = {}

    return resp


def test_create_document():
    class lensman:
        phone = '18888888888'
        identity_card_name = '张三'
        identity_card_number = '460005199605144313'
    flow_id = 'yDCHHUU08ki1zsUY6XuiSQfzpNaT4BXE'
    file_id = 'yDCHHUU08q2s90UGmXutvE1Vf4nBGGYu'
    form_fields = [
        {
            "ComponentId": "ComponentId_0",
            "ComponentValue": lensman.identity_card_name
        }, {
            "ComponentId": "ComponentId_1",
            "ComponentValue": lensman.identity_card_number,
        }, {
            "ComponentId": "ComponentId_2",
            "ComponentValue": "100",
        }, {
            "ComponentId": "ComponentId_3",
            "ComponentValue": "壹佰",
        }, {
            "ComponentId": "ComponentId_37",
            "ComponentValue": file_id,
        }
    ]
    return create_document(flow_id=flow_id, form_fields=form_fields)


def create_document(flow_id=None, form_fields=None):
    # https://qian.tencent.com/developers/companyApis/startFlows/CreateDocument/
    try:
        # 实例化一个认证对象，入参需要传入腾讯云账户 SecretId 和 SecretKey，此处还需注意密钥对的保密
        # 代码泄露可能会导致 SecretId 和 SecretKey 泄露，并威胁账号下所有资源的安全性。以下代码示例仅供参考，建议采用更安全的方式来使用密钥，请参见：https://cloud.tencent.com/document/product/1278/85305
        # 密钥可前往官网控制台 https://console.cloud.tencent.com/cam/capi 进行获取
        cred = credential.Credential(secret_id, secret_key)
        # 实例化一个http选项，可选的，没有特殊需求可以跳过
        httpProfile = HttpProfile()
        httpProfile.endpoint = endpoint

        # 实例化一个client选项，可选的，没有特殊需求可以跳过
        clientProfile = ClientProfile()
        clientProfile.httpProfile = httpProfile
        # 实例化要请求产品的client对象,clientProfile是可选的
        client = ess_client.EssClient(cred, "", clientProfile)

        # 实例化一个请求对象,每个接口都会对应一个request对象
        req = models.CreateDocumentRequest()
        params = {
            "Operator": {
                "UserId": operator_id
            },
            "TemplateId": template_id,
            "FlowId": flow_id,
            "FormFields": form_fields,
        }
        req.from_json_string(json.dumps(params))

        # 返回的resp是一个DescribeFlowTemplatesResponse的实例，与请求对象对应
        resp = client.CreateDocument(req)
        # 输出json格式的字符串回包
        # print(resp.to_json_string())

    except TencentCloudSDKException as err:
        print(err)
        resp = {}

    return resp


def test_start_flow():
    flow_id = 'yDCHHUU08ki1zsUY6XuiSQfzpNaT4BXE'
    return start_flow(flow_id=flow_id)


def start_flow(flow_id=None):
    # https://qian.tencent.com/developers/companyApis/startFlows/StartFlow/
    try:
        # 实例化一个认证对象，入参需要传入腾讯云账户 SecretId 和 SecretKey，此处还需注意密钥对的保密
        # 代码泄露可能会导致 SecretId 和 SecretKey 泄露，并威胁账号下所有资源的安全性。以下代码示例仅供参考，建议采用更安全的方式来使用密钥，请参见：https://cloud.tencent.com/document/product/1278/85305
        # 密钥可前往官网控制台 https://console.cloud.tencent.com/cam/capi 进行获取
        cred = credential.Credential(secret_id, secret_key)
        # 实例化一个http选项，可选的，没有特殊需求可以跳过
        httpProfile = HttpProfile()
        httpProfile.endpoint = endpoint

        # 实例化一个client选项，可选的，没有特殊需求可以跳过
        clientProfile = ClientProfile()
        clientProfile.httpProfile = httpProfile
        # 实例化要请求产品的client对象,clientProfile是可选的
        client = ess_client.EssClient(cred, "", clientProfile)

        # 实例化一个请求对象,每个接口都会对应一个request对象
        req = models.StartFlowRequest()
        params = {
            "Operator": {
                "UserId": operator_id
            },
            "FlowId": flow_id,
        }
        req.from_json_string(json.dumps(params))

        # 返回的resp是一个DescribeFlowTemplatesResponse的实例，与请求对象对应
        resp = client.StartFlow(req)
        # 输出json格式的字符串回包
        # print(resp.to_json_string())

    except TencentCloudSDKException as err:
        print(err)
        resp = {}

    return resp


def test_create_scheme_url():
    class lensman:
        phone = '18888888888'
        identity_card_name = '张三'
        identity_card_number = '460005199605144313'
    flow_id = 'yDCHHUU08ki1zsUY6XuiSQfzpNaT4BXE'
    return create_scheme_url(flow_id=flow_id, name=lensman.identity_card_name, mobile=lensman.phone, card_type='ID_CARD', card_number=lensman.identity_card_number)


def create_scheme_url(flow_id=None, name=None, mobile=None, card_type='ID_CARD', card_number=None):
    # https://qian.tencent.com/developers/companyApis/startFlows/CreateSchemeUrl
    try:
        # 实例化一个认证对象，入参需要传入腾讯云账户 SecretId 和 SecretKey，此处还需注意密钥对的保密
        # 代码泄露可能会导致 SecretId 和 SecretKey 泄露，并威胁账号下所有资源的安全性。以下代码示例仅供参考，建议采用更安全的方式来使用密钥，请参见：https://cloud.tencent.com/document/product/1278/85305
        # 密钥可前往官网控制台 https://console.cloud.tencent.com/cam/capi 进行获取
        cred = credential.Credential(secret_id, secret_key)
        # 实例化一个http选项，可选的，没有特殊需求可以跳过
        httpProfile = HttpProfile()
        httpProfile.endpoint = endpoint

        # 实例化一个client选项，可选的，没有特殊需求可以跳过
        clientProfile = ClientProfile()
        clientProfile.httpProfile = httpProfile
        # 实例化要请求产品的client对象,clientProfile是可选的
        client = ess_client.EssClient(cred, "", clientProfile)

        # 实例化一个请求对象,每个接口都会对应一个request对象
        req = models.CreateSchemeUrlRequest()
        params = {
            "Operator": {
                "UserId": operator_id
            },
            "FlowId": flow_id,
            "Name": name,
            "Mobile": mobile,
            "IdCardType": card_type,
            "IdCardNumber": card_number,
            "EndPoint": "APP",
            "PathType": 1,  # 腾讯电子签小程序流程合同的详情页
            "AutoJumpBack": True,  # 签署完成会自动跳转回来
        }
        req.from_json_string(json.dumps(params))

        # 返回的resp是一个DescribeFlowTemplatesResponse的实例，与请求对象对应
        resp = client.CreateSchemeUrl(req)
        # 输出json格式的字符串回包
        # print(resp.to_json_string())

    except TencentCloudSDKException as err:
        print(err)
        resp = {}

    return resp
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