google-app-engine

Using POST to send data from Android to AppEngine Datastore

穿精又带淫゛_ 提交于 2021-02-10 05:26:46
问题 Sorry if this is a simple question, but I just can't figure out what I'm supposed to do and I think I'm a bit out of my depth here. I want to send data from an Android Application to my application running on Google App Engine. From there the data must be written to the Datastore. My data will mostly be in the form of objects, and I am working in Java. I came across the following question: how-can-i-connect-a-google-app-engine-application-with-my-android I think I understand what has to

Using POST to send data from Android to AppEngine Datastore

家住魔仙堡 提交于 2021-02-10 05:26:11
问题 Sorry if this is a simple question, but I just can't figure out what I'm supposed to do and I think I'm a bit out of my depth here. I want to send data from an Android Application to my application running on Google App Engine. From there the data must be written to the Datastore. My data will mostly be in the form of objects, and I am working in Java. I came across the following question: how-can-i-connect-a-google-app-engine-application-with-my-android I think I understand what has to

Google App Engine: Automatically re-deploy once a day to update machine learning model?

[亡魂溺海] 提交于 2021-02-10 03:29:25
问题 I have the following situation: a Python Flask app running on Google App engine; this app serves predictions from a Spacy machine learning model. Throughout the day, there is a workflow in place which adds new training data for this model, and the App has a cron job that retrains the model taking this new training data into account every evening. The problem is that I want each App instance to reference this newly trained model after it becomes available. I can upload the model somewhere (say

Google App Engine: Automatically re-deploy once a day to update machine learning model?

感情迁移 提交于 2021-02-10 03:21:26
问题 I have the following situation: a Python Flask app running on Google App engine; this app serves predictions from a Spacy machine learning model. Throughout the day, there is a workflow in place which adds new training data for this model, and the App has a cron job that retrains the model taking this new training data into account every evening. The problem is that I want each App instance to reference this newly trained model after it becomes available. I can upload the model somewhere (say

Google App Engine: Automatically re-deploy once a day to update machine learning model?

*爱你&永不变心* 提交于 2021-02-10 03:19:01
问题 I have the following situation: a Python Flask app running on Google App engine; this app serves predictions from a Spacy machine learning model. Throughout the day, there is a workflow in place which adds new training data for this model, and the App has a cron job that retrains the model taking this new training data into account every evening. The problem is that I want each App instance to reference this newly trained model after it becomes available. I can upload the model somewhere (say

Google App Engine: Automatically re-deploy once a day to update machine learning model?

为君一笑 提交于 2021-02-10 03:18:10
问题 I have the following situation: a Python Flask app running on Google App engine; this app serves predictions from a Spacy machine learning model. Throughout the day, there is a workflow in place which adds new training data for this model, and the App has a cron job that retrains the model taking this new training data into account every evening. The problem is that I want each App instance to reference this newly trained model after it becomes available. I can upload the model somewhere (say

Google App Engine: Automatically re-deploy once a day to update machine learning model?

a 夏天 提交于 2021-02-10 03:16:13
问题 I have the following situation: a Python Flask app running on Google App engine; this app serves predictions from a Spacy machine learning model. Throughout the day, there is a workflow in place which adds new training data for this model, and the App has a cron job that retrains the model taking this new training data into account every evening. The problem is that I want each App instance to reference this newly trained model after it becomes available. I can upload the model somewhere (say

App Engine Service Deployment Stopped Working on Known Good Version

心不动则不痛 提交于 2021-02-09 12:10:36
问题 We have a service hosted in gcloud that is not actively developed and we have not deployed for a few weeks. On deployment we now get the error ERROR: gcloud crashed (TypeError): unorderable types: NoneType() > int() and the deployment fails. We get the exact same results even if we run the last deployed version through CI. This is my app.yaml runtime: aspnetcore env: flex threadsafe: true service: myapp manual_scaling: instances: 1 env_variables: service_name: myapp AWS_ACCESS_KEY_ID: {{AWS

App Engine Service Deployment Stopped Working on Known Good Version

喜你入骨 提交于 2021-02-09 11:59:12
问题 We have a service hosted in gcloud that is not actively developed and we have not deployed for a few weeks. On deployment we now get the error ERROR: gcloud crashed (TypeError): unorderable types: NoneType() > int() and the deployment fails. We get the exact same results even if we run the last deployed version through CI. This is my app.yaml runtime: aspnetcore env: flex threadsafe: true service: myapp manual_scaling: instances: 1 env_variables: service_name: myapp AWS_ACCESS_KEY_ID: {{AWS

I want to get serving url for my images on firebase storage

守給你的承諾、 提交于 2021-02-08 17:31:09
问题 It is possible to get a serving url like http://lh3.googleusercontent.com/-dB80E6geqWFVU41ZmWL1iGC0BkCDcXAGojwaAgMHG-wMe_xCpISffiaNy00Y6ATJ2J9_W_I8rMgwQYWQQyGcFuffw=s1024 It's done by using google app engine: images.get_serving_url(blobkey, secure_url=False) I don't want to use Google App Engine, just Firebase or the UI. Can this be accomplished? Thanks! I got the info/idea from here: http://www.photo-mark.com/notes/photo-site-app-engine/ List of all the App Engine images service get_serving