single-use | Easilly generate a protected , single use download | Download Utils library

hope everyone is doing great. I'm trying to generate an incremental order/invoice number in a multiuser environment

This code works fine for a single-user environment. but how to achieve the same thing in a multi-user environment.

For example, there are two users (User A and User B)

User A has generated two invoices, then the order/invoice number would be like this INV-0000001, INV-0000002

User B has generated three invoices, then the order/invoice number would be like this INV-0000001, INV-0000002, INV-0000003

User Table user_id is an auto-incremental and primary key

I'm troubleshooting a laundry list of exceptions that have recently begun to occur- We have a "single-use" service which we wrapped a bulk service around. The bulk service sets up all the variables required for each iteration, etc... The other variables are non-Entity/non-EF related. Roughly speaking:

Downloaded T5-small model from SparkNLP website, and using this code (almost entirely from the examples):

please, Can you help me?
All of source here it is.
(https://github.com/mcvzone/integration-tcp-test.git)

Thank you.

1. I created a spring integration-tcp-client context xml file.

I have been at this for almost two hours and I'm pretty sure I'm just missing something simple. I have tried multiple iterations without success. SO searches have given insights but nothing exactly like this to see were I'm going wrong. Your input will be appreciated.

I have an array built [$prime_ids] made up of user IDs (individual email addresses). This is the look of the finished array:

I'm very new to TFX, but have an apparently-working ML Pipeline which is to be used via BulkInferrer. That seems to produce output exclusively in Protobuf format, but since I'm running bulk inference I want to pipe the results to a database instead. (DB output seems like it should be the default for bulk inference, since both Bulk Inference & DB access take advantage of parallelization... but Protobuf is a per-record, serialized format.)

I assume I could use something like Parquet-Avro-Protobuf to do the conversion (though that's in Java and the rest of the pipeline's in Python), or I could write something myself to consume all the protobuf messages one-by-one, convert them into JSON, deserialize the JSON into a list of dicts, and load the dict into a Pandas DataFrame, or store it as a bunch of key-value pairs which I treat like a single-use DB... but that sounds like a lot of work and pain involving parallelization and optimization for a very common use case. The top-level Protobuf message definition is Tensorflow's PredictionLog.

This must be a common use case, because TensorFlowModelAnalytics functions like this one consume Pandas DataFrames. I'd rather be able to write directly to a DB (preferably Google BigQuery), or a Parquet file (since Parquet / Spark seems to parallelize better than Pandas), and again, those seem like they should be common use cases, but I haven't found any examples. Maybe I'm using the wrong search terms?

I also looked at the PredictExtractor, since "extracting predictions" sounds close to what I want... but the official documentation appears silent on how that class is supposed to be used. I thought TFTransformOutput sounded like a promising verb, but instead it's a noun.

I'm clearly missing something fundamental here. Is there a reason no one wants to store BulkInferrer results in a database? Is there a configuration option that allows me to write the results to a DB? Maybe I want to add a ParquetIO or BigQueryIO instance to the TFX pipeline? (TFX docs say it uses Beam "under the hood" but that doesn't say much about how I should use them together.) But the syntax in those documents looks sufficiently different from my TFX code that I'm not sure if they're compatible?

Help?

some tenants will need their users to login using corporate identities. I would prefer to use a single-user pool for all tenants. Since the same user can be in multiple tenants, how do we identify which corporate identity to use to log the user in

I have postgres installed on an ubuntu machine, and I am able to enter into the command line via something along the lines of:

I am trying to get the questions and answers from StackApi to train a deep learning model. I have the problem that I don't understand how to use the custom filters so that I only get the body of the question.

This is my code: