It's better to copy the functions into your own code than to depend on
internal interfaces.

On Tue, Nov 30, 2010 at 10:02 PM, Gregory Szorc <gregory.sz...@gmail.com>wrote:

> You can load the _DecodeVarint and _VarintEncoder modules from
> google.protobuf.internal.{decoder,encoder} if you want to risk using an
> internal interface. See
> https://github.com/indygreg/zippylog/blob/master/lib/py/zippylog/stream.pyfor 
> an example (although I can't guarantee the Python code in that project
> works at this time).
>
> Greg
>
> -----Original Message----- From: Dan
> Sent: Tuesday, November 30, 2010 4:01 PM
> To: Protocol Buffers
> Subject: [protobuf] Handling streaming in Python
>
>
> Hello,
>
> Does anyone have or can point me to an example of handling a stream of
> protobuf messages in python?
>
> Specifically what I'm trying to do is parse a stream that looks like
> the following
>
> <HeaderSize PB int32>
> <HeaderMessage>
> <MessageSize PB int32>
> <Message>
> ...
> <MessageSize PB int32>
> <Message>
>
> The header just gives the list of field names and their types (int,
> double, or string, that's it).  There are no nested messages or
> anything like that in the streamed messages.
>
> Ultimately what I would like to do is put the values from a message
> into a list and pass it over to some other code that writes the data
> into another format (csv, xml, json, etc.)
>
> I've got this handled wonderfully using CodedInputStream in the Java
> implementation but now I need to do it in python and I don't see
> anything equivalent.
>
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