C#: Query Liberator for Time Range from a Dataset

public dynamic query(Dictionary<string, dynamic> dict);

The query function takes a Dictionary of arguments and streams data as a generator of Arrow Record Batches.
The generator function pointer returned from the query should be used in a for each statement to generate Record Batches until the end of stream.

Argument	Description	Type	Example
symbols	The security trading symbol(s) you wish to query	String, or List<string>	{“symbols”,std::vector<std::string>{"AAPL","GOOGL"}}
name	The name of the dataset	String	{"name","daily_bars"}
as _of	This value can be any past date so that you can see the data as it was known on the “as of” date. as_of defaults to now.	String Format YYYY-MM-DD HH:MM:SS (HH:MM:SS optional)	{"as_of","2019-09-15" }
back_to	The date where the return dataset should begin. This is reading all the data “back to” the specified date.	String Format YYYY-MM-DD HH:MM:SS (HH:MM:SS optional)	{"back_to","2019-07-15"}
fields	An optional filter of field names. You cannot remove mandatory fields	String	{“fields”, “volume”}
stats	Set to 'total' to get count per symbol as Json result	String	{“stats”, “total”}
crux_key	if querying for a Crux data set	String	{“crux_key”, “<Your Key>”}
compress	The data compression method on the wire. CloudQuant uses compression.	Boolean	{“compress", false}
json_xfer	Json transfer. This is usually False	Boolean. Always False	{“json_xfer”:false}
debug_stream	Send log info to this ostream ptr	System.IO.TextWriter	{“debug_stream”, Console.Error}
warning_stream	Send warning info to this stream	System.IO.TextWriter	{“warning_stream”, Console.Error}
record_limit	Limit number of records	Int	{“record_limit”, 5}
user	The user identifier (as assigned by CloudQuant)	String	{“user”,”myUserID”}
token	The user’s assigned token	String	{“token”,”mypersonal-private-token”}

Example Query for Time Range

Liberator liberator;
var res = liberator.query(new Dictionary<string, dynamic>() {
                    {"name","daily_bars" },
                    {"as_of","2021-04-10" },
                    { "back_to","2021-03-10"},
                    { "symbols","ES"}
                    });

  foreach (RecordBatch batch in res())
  {
             var df = DataFrame.FromArrowRecordBatch(batch);
             Console.WriteLine(DateTime.Now.ToString("hh:mm:ss.fff") + “ " + DataFrameUtils.PrettyPrint(df));
  }