OK, I think I got it sorted, although I’m not sure I understand why it needs to
be this way.
On my curl command I added:
-H "Content-Type: application/text"
Along with:
--data-binary "@testfile.txt"
And then in my XQuery I use:
xdmp:get-request-body("text")
And get the response I expected (and wanted).
Cheers,
E.
--
Eliot Kimber
http://contrext.com
On 6/23/17, 9:18 AM, "[email protected] on behalf of Erik
Hennum" <[email protected] on behalf of
[email protected]> wrote:
Hi, Eliot:
Try specifying the content-type.
I believe that, if a POST request doesn't specify the content-type,
curl defaults the content-type to application/x-www-form-urlencoded
(This convenience may or may not be seen as a feature.)
Regards,
Erik Hennum
________________________________________
From: [email protected]
[[email protected]] on behalf of Eliot Kimber
[[email protected]]
Sent: Thursday, June 22, 2017 3:02 PM
To: MarkLogic Developer Discussion
Subject: [MarkLogic Dev General] Using CURL to Test ML HTTP Processing
I’m trying to understand the ML support for handling HTTP requests and I’m
trying to use CURL to test things just to learn. I’m getting an odd behavior
and I haven’t been able to figure out what I’m doing wrong from either the curl
info I can find or from the relevant ML docs.
Here’s my module:
xquery version "1.0-ml";
let $type := xdmp:get-request-header('Content-Type')
let $field-names := xdmp:get-request-field-names()
return
<response>
<message>This is test remote access</message>
<content-type>{$type}</content-type>
<fields>{
for $name in $field-names
return <field-name>{$name}</field-name>
}</fields>
<request-body>{
for $name in $field-names
return xdmp:get-request-field($name)}
</request-body>
</response>
I’m trying to use POST to send the data in a file to this module using the
–data-binary parameter:
curl -X POST --data-binary "[email protected]" --user ekimber:ekimber
http://anglia.corp.mitchellrepair.com:11984/test-remote-access.xqy
However, the response I get is:
<response><message>This is test remote
access</message><content-type>application/x-www-form-urlencoded</content-type><fields><field-name>file</field-name></fields><request-body>@testfile.txt</request-body></response>
Note that the field value is the string “@testfile.txt”, not the content of
the file. This is the form of call that appears to be the correct way to
associate a field name with the data from a file.
If I leave off “file=” then the contents of testfile.txt become the field
name:
curl -X POST --data-binary "@testfile.txt" --user ekimber:ekimber
http://anglia.corp.mitchellrepair.com:11984/test-remote-access.xqy
<response><message>This is test remote
access</message><content-type>application/x-www-form-urlencoded</content-type><fields><field-name>This
is the test
File. More text.
</field-name></fields><request-body/></response>
Which also seems wrong.
I must be doing something wrong, either on the CURL side or on the ML side
but I can’t figure out what it is. All the examples I could find in the ML docs
use direct form submission rather than CURL.
Thanks,
Eliot
--
Eliot Kimber
http://contrext.com
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