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That can certainly be done in Google Apps Script, but it would be a lot simpler to just use a conditional formatting.

To highlight cells where the phrase in cell A1 appears as part of the Apply to range cells, use a conditional formatting rule like this:

Text contains =$A$1

Conditional formatting can only format whole cells. To highlight partial phrases within cells, use this Apps Script function:

It looks like you need offer_comment to be saved before a read_receipt that belongs to it can be created, which makes sense - the offer_comment doesn't have an id until it has been saved.

This might get you past the problem.

The useEffect hook in CompanyDirScreen is using an empty dependency array, so the effect is run only once when the component mounts. This is why the URL works when you manually enter it in the address bar.

Add keywords to the dependency array so when the search param value updates the useEffect hook callback will be triggered again.

By definition simple PDF structure is not tabular there is one cell (the page) and that one column can be subdivide into two or more rows with null spaces between the text sub columns.

That is why tables are difficult to sub[ex]tract

So adding coloured rows in one area is fairly simple to make like a table, thus to make vertical sub dividers is more difficult, However that feature was added in January 2022 https://github.com/natancabral/pdfkit-table/files/7865078/document-5.pdf

For exsample see https://github.com/natancabral/pdfkit-table/issues/16#issuecomment-1012389097

Logger.log(response); of your provided script is the showing script, please modify var object = JSON.parse("quantity"); to var object = JSON.parse(response.getContentText());. And please check console.log(object.inventory_items[0].quantity)

It worked with podman!

1. I installed podman on macOS
2. I builded the tools-image with podman
3. I started the tools-image with following command

The code block

tibbles are a nice format, as they support nested data.frames. I would aim for a tibble with 2 rows, a wide format. In it, each nested list element would be its own data.frame, which we could manipulate later when needed. I would do something like this:

When connecting to a replica set, the host:port pairs in the connection string are a seedlist.

The driver/client will attempt to connect to each host in the seedlist in turn until it gets a connection.

It then runs the isMaster or hello command to determine which node is primary, and to get a list of all replica set members.

Then it drops the original connection, and attempts to connect to each replica set member using the host and port information retrieved.

The host information returned by the hello command will be the host:port listed in rs.conf(), i.e. the hostnames used to initiate the replica set.

In this usage the driver will only be able to successfully connect using localhost and the local port where the SSH tunnel is listening.

When you pass the replica set name in the connection string, it will connect initially using the locahost/port in the connection string, discover the host:port of all members, and then attempt to connect to each member.

In order to connect to a replica set over SSH tunnel, you would need to have the local machine resolve all of the member hostnames listed in rs.conf() to 127.0.0.1, and open an SSH tunnel for each of those members, using the port number listed in rs.conf() as the local port.