We Keep Coding

Unable to access tableau data using rest api via python when we have multiple dashboards in a a worksheet

I am basically trying to access tableau underline data via rest api using python.
I am able to do so when we have one dashboard(chart) in the worksheet. However, when we have multiple dashboards in one worksheet it's only returning the data for first dashboard in the worksheet.

Not entirely sure what your question is.
But each view/sheet in the dashboard has a different ID.
You need to specific which one you would like to see. You can get the different IDs using a GET request.
The first dashboard is the default one. This may be the source of your error and why you are only getting the first one returned.

Send rich text format email using python

I need to create emails with rich text format. Inside the email, it has a table, and under one column of the table, for each row, i need to attach different emails
Would above be achievable using python
Any help will be appreciated!

Unable to get campaigns data to push to database in google adwords api

I am facing a couple of issues in figuring out what-is-what, in spite of the humungous documentation I am unable to figure out these issues
1.Which report type should be used to get the campaign level totals. I am trying to get the data in the format of headers
-campaign_id|campaign_name|CLicks|Impressions|Cost|Conversions.
2.I have tried to use "CAMPAIGN_PERFORMANCE_REPORT" but I get broken up information at a keyword level, but I am trying to pull the data at a campaign level.
3.I also need to push the data to a database. In the API documentation, i get samples which will either print the results on my screen or it will create a file on my machine. is there a way where I can get the data in JSON to push it to the database.
4.I have 7 accounts on my MCC account as of now, the number will increase in the coming days. I don't want to manually hard code the client customer ids into my code as there will be new accounts which will be created. is there a way where I can get the list of client customer ids which are on my MCC ac
I am trying to get this data using python as my code base and adwords api V201710.

To retrieve campaign performance data you need to run a campaign_performance_report. Follow this link to view all available columns for Campaign performance report.
The campaign performance report does not include stats aggregated at a keyword level. Are you using AWQL to pull your report?
Can you paste your code here, I find it odd you are getting keyword level data.
Run this python example code to get campaign data (you should definitely not be getting keyword level data with this example code).
Firstly Google AdWords API only returns report data in the following file formats CSVFOREXCEL, CSV, TSV, XML, GZIPPED_CSV, GZIPPED_XML. Unfortunately JSON is not supported for your use case. I would recommend GZIPPED_CSV and set the following properties to false:
skipReportHeader
skipColumnHeader
skipReportSummary
This will simply skip all headers, report titles & totals from the report making is very simple to upsert data into a table.
It is not possible to enter a MCC ID and expect the API to fetch a report for all client accounts. Each API report request contains the client ID, so therefore you are required to create an array of all client IDs and then iterate through each id. If you are using the client library (recommended) then you can simply set the clientID within the session i.e. session.setClientCustomerId("xxx");
To automate this use the ManagedCustomerService to automatically retrieve all clientIDs then iterate through this therefore you would not need to hard code each ClientID. Google have created a handy python file which returns the account hierarchy including child account ID (click here).
Lastly I based on your question I assume you attempting to run an ETL process. Google have an opensource AdWords extractor which I highly recommend.

AWS DynamoDB retrieve entire table

Folks,
Retrieving all items from a DynamoDB table, I would like to replace the scan operation with a query.
Currently I am pulling in all the table's data via the following (python):
drivertable = Table(url['dbname'])
all_drivers = []
all_drivers_query = drivertable.scan()
for x in all_drivers_query:
all_drivers.append(x['number'])
How would i change this to use the query API?
Thanks!

There is no way to query and get the entire results of the table. As of right now, you have a few options if you want to get all of your data out of a DynamoDB, and all of them involve actually reading the data out of DynamoDB:
Scan the table. It can be done faster with the expense of using much more read capacity by using a parallel scan
Export your data using AWS Data Pipelines. You can configure the export job for where and how it should store your data.
Using one of the AWS event platforms for new data and denormalize it. For all new data you can get a time-ordered stream of all updates to the table from DynamoDB Update Streams or process events using AWS Lambda

You can't query an entire table. Query is used to retrieve a set of items by supplying a hash key (part of the complex primary key hash-range of the table).
One can not use query without knowing the hash keys.
EDIT as a bounty was added to this old question that asks:
How do I get a list of hashes from DynamoDB?
Well - In Dec 2014 you still can't ask via a single API for all hash keys of a table.
Even if you go and put a GSI you still can't get a DISTINCT hash count.
The way I would solve this is with de-normalization. Keep another table with no range key and put every hash there together with the main table. This adds house-keeping overhead to your application level (mainly when removing), but solves the problem you asked.

Storing chat logs in relational database

I am writing a chat bot that uses past conversations to generate its responses. Currently I use text files to store all the data but I want to use a database instead so that multiple instances of the bot can use it at the same time.
How should I structure this database?
My first idea was to keep a main table like create table Sessions (startTime INT,ip INT, botVersion REAL, length INT, tableName TEXT). Then for each conversation I create table <generated name>(timestamp INT, message TEXT) with all the messages that were sent or received during that conversation. When the conversation is over, I insert the name of the new table into Sessions(tableName). Is it ok to programmatically create tables in this manner? I am asking because most SQL tutorials seem to suggest that tables are created when the program is initialized.
Another way to do this is to have a huge create table Messages(id INT, message TEXT) table that stores every message that was sent or received. When a conversation is over, I can add a new entry to Sessions that includes the id used during that conversation so that I can look up all the messages sent during a certain conversation. I guess one advantage of this is that I don't need to have hundreds or thousands of tables.
I am planning on using SQLite despite its low concurrency since each instance of the bot may make thousands of reads before generating a response (which will result in one write). Still, if another relational database is better suited for this task, please comment.
Note: There are other questions on SO about storing chat logs in databases but I am specifically looking for how it should be structured and feedback on the above ideas.

Don't use a different table for each conversation. Instead add a "conversation" column to your single table.