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In this document the translate5 TM service REST interface is described.

The translate5 TM service is build by using the OpenTM2 Translation Memory Engine.

It provides the following functionality:

  • import new openTM2-TMs
  • delete openTM2-TMs
  • create new empty openTM2-TM
  • import TMX
  • open TM and close TM: not possible see extra section in this document.
  • query TM for Matches: one query per TM, not quering multiple TMs at once.
  • query TM for concordance search
  • save new entry to TM

This can be achieved by the following specification of a RESTful HTTP Serive, the specification is given in the following form:

  1. URL of the HTTP Resource, where servername and an optional path prefix is configurable.
  2. HTTP Method with affected functionality
  3. Brief Description
  4. Sent and returned Body.

Request Data Format:

The transferred data in the requests is JSON and is directly done in the request body.

URL Format:

In this document, the OpenTM2 is always assumed under http://opentm2/.

To rely on full networking features (proxying etc.) the URL is configurable in Translate5 so that the OpenTM2 instance can also reside under http://xyz/foo/bar/.

Errors

For each request, the possible errors are listed below for each resource. In case of an error, the body should contain at least the following JSON, if it is senseful the attributes of the original representation can be added.

{

errors: [{errorMsg: 'Given tmxData is no TMX.'}]

}


Endpoints
1Get the list of TMsReturns JSON list of TMs
2Create TM

Creates TM with the provided name

3Create/Import TM in internal formatImport and unpack base64 encoded archive of .TMD, .TMI, .MEM files. Rename it to provided name
4Delete TMDeletes .TMD, .TMI, .MEM files 
5Import TMX into TMImport provided base64 encoded TMX file into TM
6Export TMX from TMCreates TMX from tm. Encoded in base64
7Export in Internal formatCreates and exports archive with .TMD, .TMI, .MEM files of TM
8

Status of TM 

Returns status\import status of TM
9Fuzzy searchReturns enrties\translations with small differences from requested
10Concordance searchReturns entries\translations that contain requested segment
11Entry updateUpdates entry\translation 
12Entry deleteDeletes entry\translation
13Save all TMsFlushes all filebuffers(TMD, TMI files) into the filesystem
14Shutdown serviceFlushes all filebuffers into the filesystem and shutting down the service


Values

%service%Name of service(default - t5memory, could be changed in t5m3mory.conf file
%tm_name%

Name of Translation Memory



  1. List of TMs
PurposeReturns JSON list of TMs
RequestGET /%service%/
Params

-

Response
Response example:{
    [
        {name:examle_tm
        },
        {name:mem_gt_issue
        }
    ]
}



2. Create TM

PurposeCreates TM with the provided name
RequestPost /%service%/%tm_name%/
Params

Required: name, sourceLang

Response
Request example 
{    "name": "examle_tm",    
     "sourceLang": "bg-BG" 
   ["data": "base64_encoded_archive_see_import_in_internal_format"]
   ["loggingThreshold": 0]
}

Response example:Success:{
"name": "examle_tm",
}
TM already exists:
{
  "ReturnValue": 1,
  "ErrorMsg": ""
}


3. Create/Import TM in internal format

PurposeImport and unpack base64 encoded archive of .TMD, .TMI, .MEM files. Rename it to provided name
RequestPOST /%service%/%tm_name%/
Params

{    "name": "examle_tm",    "sourceLang": "bg-BG" , "data":"base64EncodedArchive" }

Response
Request example:{ "name": "mem_internal_format", "sourceLang": "bg-BG", "data":"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" }
Response example:{
"name": "examle_tm"
}

TM already exists:
{
  "ReturnValue": 65535,
  "ErrorMsg": ""
}



4. Delete TM

PurposeDeletes .TMD, .TMI, .MEM files 
RequestDelete /%service%/%tm_name%/
Params

-

Response
Response example:%empty_anyway%
Response
Response example:%empty_anyway%


5. Import provided base64 encoded TMX file into TM

PurposeImport provided base64 encoded TMX file into TM. Starts another thead for import. For checking import status use status call
RequestPOST /%service%/%tm_name%/import
Params

{"tmxData": "base64EncodedTmxFile" }

Response
Request example:{
  "tmxData":   "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"
}Response example:Error in case of errorFrom v0_2_15
{ "%tm_name%":"deleted"} in case of success
Check status of import using status call



6. Export TMX from TM

PurposeCreates TMX from tm.
RequestGET /%service%/%tm_name%/
Headers

Accept - applicaton/xml

Response
Response example:<?xml version="1.0" encoding="UTF-8" ?>
<tmx version="1.4">
<header creationtoolversion="0.2.14" gitCommit="60784cf * refactoring and cleanup" segtype="sentence" adminlang="en-us" srclang="en-GB" o-tmf="t5memory" creationtool="t5memory" datatype="xml" />
<body>
  <tu tuid="1" datatype="xml" creationdate="20190401T084052Z">
     <prop type="tmgr:segNum">10906825</prop>
     <prop type="tmgr:markup">OTMXML</prop>
     <prop type="tmgr:docname">none</prop>
     <tuv xml:lang="en-GB">
          <prop type="tmgr:language">English(U.K.)</prop>
          <seg>For > 100 setups.</seg>
     </tuv>
     <tuv xml:lang="de-DE">
          <prop type="tmgr:language">GERMAN(REFORM)</prop>
     <seg>Für > 100 Aufstellungen.</seg>
     </tuv>
     </tu>
   </body>
</tmx>



7. Export in internal format

PurposeCreates and exports archive with .TMD, .TMI, .MEM files of TM
RequestGET /%service%/%tm_name%/
Headers

application/zip

Response
Response example:%binary_data%



8. Get the status of TM

RequestGET /%service%/%tm_name%/status
Params

-

Response
Response example:{
    "tmxImportStatus": "available"
}
The status could be "available", "import" or "failed" if the import had errors. If it's "failed" ErrorMsg would be added


9. Fuzzy search

Purpose Returns enrties\translations with small differences from requested
RequestPOST /%service%/%tm_name%/fuzzysearch
Params

Required: source, sourceLang, targetLang

iNumOfProposal -  limit of found proposals - max is 20, if 0 → use default value '5' 

Response
Request example:


Request example:
{  "sourceLang":"en-GB",   "targetLang":"de",   "source":"For > 100 setups.",   ["documentName":"OBJ_DCL-0000000845-004_pt-br.xml"],   ["segmentNumber":""],   ["markupTable":"OTMXUXLF"],   ["context":"395_408"],   ["numOfProposals":20],   ["loggingThreshold": 0]}





Response example:

Success:
{
  "ReturnValue": 0,
  "ErrorMsg": "",
  "NumOfFoundProposals": 1, 
  "results": [
  {
     "source": "For > 100 setups.",
     "target": "Für > 100 Aufstellungen.",
     "segmentNumber": 10906825,
     "id": "",
     "documentName": "none",
    "documentShortName": "NONE",
    "sourceLang": "en-GB",
    "targetLang": "de-DE",
    "type": "Manual",
    "matchType": "Exact",
    "author": "",
    "timestamp": "20190401T084052Z",
    "matchRate": 100,
    "markupTable": "OTMXML",
    "context": "",
   "additionalInfo": ""
   }
 ]
}

Not found:

{
"ReturnValue": 133,
"ErrorMsg": "OtmMemoryServiceWorker::concordanceSearch::"
}



10. Concordance search

PurposeReturns entries\translations that contain requested segment
RequestPOST /%service%/%tm_name%/concordancesearch
Params

Required: searchString - what we are looking for , searchType ["Source"|"Target"|"SourceAndTarget"] - where to look

iNumOfProposal -  limit of found proposals - max is 20, if 0 → use default value '5' 

Response
Request example:
{
    "searchString": "The",
    "searchType": "source",
    ["searchPosition": "",]
    ["numResults": 20,]
    ["msSearchAfterNumResults": 250,]
	["loggingThreshold": 0]
}
Response example:Success:
{
  "ReturnValue": 0,
  "NewSearchPosition": null,
  "results": [
  {
     "source": "For > 100 setups.",
     "target": "Für > 100 Aufstellungen.",
     "segmentNumber": 10906825,
     "id": "",
     "documentName": "none",
     "documentShortName": "NONE",
     "sourceLang": "en-GB",← rfc5646     
     "targetLang": "de-DE",← rfc5646
     "type": "Manual",
     "matchType": "undefined",
     "author": "",
     "timestamp": "20190401T084052Z",
     "matchRate": 0,
     "markupTable": "OTMXML",
     "context": "",
     "additionalInfo": ""
   }
  ],
 "ErrorMsg": ""
}

Success, but with NewSearchPosition - not all TM was checked, use this position to repeat search:
{
  "ReturnValue": 0,
  "NewSearchPosition": "8:1",
  "results": [
  {
     "source": "For > 100 setups.",
     "target": "Für > 100 Aufstellungen.",
     "segmentNumber": 10906825,
     "id": "",
    "documentName": "none",
    "documentShortName": "NONE",
    "sourceLang": "en-GB",
    "targetLang": "de-DE",
    "type": "Manual",
     "matchType": "undefined",
     "author": "",
     "timestamp": "20190401T084052Z",
     "matchRate": 0,
     "markupTable": "OTMXML",
     "context": "",
     "additionalInfo": ""
   }
  ],
 "ErrorMsg": ""
}
SearchPosition / NewSearchPositionFormat: "7:1"
First is segmeng\record number, second is target number
The NextSearchposition is an internal key of the memory for the next position on sequential access. Since it is an internal key, maintained and understood by the underlying memory plug-in (for EqfMemoryPlugin is it the record number and the position in one record),
no assumptions should be made regarding the content. It is just a string that, should be sent back to OpenTM2 on the next request, so that the search starts from there.
So is the implementation in Translate5: The first request to OpenTM2 contains SearchPosition with an empty string, OpenTM2 returns than a string in NewSearchPosition, which is just resent to OpenTM2 in the next request.

Not found:{
"ReturnValue": 0,
"NewSearchPosition": null,
"ErrorMsg": ""
}TM not found:{
"ReturnValue": 133,
"ErrorMsg": "OtmMemoryServiceWorker::concordanceSearch::"
}



11. Update entry

PurposeUpdates entry\translation 
RequestPOST /%service%/%tm_name%/entry
Params

Only sourceLang, targetLang, source and target are required


Response
Request example:
{
    "source": "The end",
    "target": "The target",
    "sourceLang": "en",
    "targetLang": "de", 
    ["documentName": "Translate5 Demo Text-en-de.xlf"],
    ["segmentNumber": 8,]
    ["author": "Thomas Lauria"],
    ["timeStamp": "20210621T071042Z"],
    ["context": "2_2"],
    ["addInfo": "2_2"], 
    ["type": "Manual"],
    ["markupTable": "OTMXUXLF"],
	["loggingThreshold": 0] 
}
Response example:



12. Delete entry

PurposeDeletes entry\translation 
RequestPOST /%service%/%tm_name%/entrydelete
Params

Only sourceLang, targetLang, source, and target are required

Deleting based on strict match(including tags and whitespaces) of target and source

Response
Request example:
{
  "sourceLang": "bg",
  "targetLang": "en",
  "source": "The end",
  "target": "Eth dne"
  ["documentName": "my file.sdlxliff",]
  ["segmentNumber": 1,]
  ["markupTable": "translate5",]
  ["author": "Thomas Lauria",]
  ["type": "",]
  ["timeStamp": ""],
  ["context": "",]
   ["addInfo": ""] ,  ["loggingThreshold": 0] 
}



13. Save all TMs

Purpose

Flushes all filebuffers(TMD, TMI files) into the filesystem. Reset 'Modified' flags for file buffers. 

Filebuffer is a file instance of .TMD or .TMI loaded into RAM. It provides better speed and safety when working with files.

RequestGET /%service%/%tm_name%_service/savetms
Params

-

Response
Response example:{
'saved files': '/home/or/.t5memory/MEM/bg_internal_format.TMD; /home/or/.t5memory/MEM/bg_internal_format.TMI; /home/or/.t5memory/MEM/mem_gt_issue.TMD; /home/or/.t5memory/MEM/mem_gt_issue.TMI; EQFSYSW.PRP; '
}
List of saved files



14. Shutdown service

PurposeSafely shutting down the service with\without saving all loaded tm files to the disk
RequestGET /%service%/%tm_name%_service/shutdown?dontsave=1
Params

dontsave=1(optional in address) - skips saving tms, for now value doesn't matter, only presence

Response
Response example:%Empty%




15. Test tag replacement call

PurposeUpdates entry\translation 
RequestPUT /%service%/%tm_name%/entry
Params

src, trg, req


Response
Fuzzy search tag replacement test:
Request example:
{
    "src": "Tap <ph x='1'/>View <ph x='2' />o<bpt i='1' x='3'/> get <ph x='4'>strong</ph>displayed<ph x='5'>View</ph> two strong<ept i='1' x='6'/>US patents.",
    "trg": "View <ph x='1'/> tap <ph x='2' />to<bpt i='1' x='3'/> got <ph x='4'>strong</ph>dosplayd<ph x='5'>Veiw</ph> two strong<ept i='1' x='6'/>US patents.",
    "req": "Tap <x id='123'/>View <x id='222' />o<g> get <x id='44'>strong</x>displayed<x id='51'>View</x> two strong</g>US patents."
} 

Response example:
//'1' - request result 
//'2' - src result 
//'3' - trg result
{
 '1' :'Tap <x id="123"/>View <x id="222"/>o<bx/> get <x id="44"/>displayed<x id="51"/> two strong<ex/>US patents.',
 '2' :'Tap <x id="123"/>View <x id="222"/>o<g> get <x id="44"/>displayed<x id="51"/> two strong</g>US patents.',
 '3' :'View <x id="123"/> tap <x id="222"/>to<g> got <x id="44"/>dosplayd<x id="51"/> two strong</g>US patents.',
};

Import tag replacement test:
Request example:
{
    "src": "Tap <ph/>View <ph/>o<bpt/> get <ph>strong</ph>displayed<ph>View</ph> two strong<ept/>US patents.",
    "trg": "View <ph/> tap <ph/>to<bpt/> got <ph>strong</ph>dosplayd<ph>Veiw</ph> two strong<ept/>US patents.",
}
Response example:
{
 '1' :'Tap <ph x="1"/>View <ph x="2"/>o<bpt x="3" i="1"/> get <ph x="4"/>displayed<ph x="5"/> two strong<ept x="6" i="1"/>US patents.',
 '2' :'View <ph x="1"/> tap <ph x="2"/>to<bpt x="3" i="1"/> got <ph x="4"/>dosplayd<ph x="5"/> two strong<ept x="6" i="1"/>US patents.',
};




OTHER SERVICE DETAIL

You can configure the service in ~/.t5service/t5memory.conf



Logging

LevelMnemonicDescription
0DEVELOPcould make code work really slow, should be used only when debugging some specific places in code, like binary search in files, etc.
1DEBUG

logging values of variables. Wouldn't delete temporary files(In MEM and TMP subdirectories), like base64 encoded\decoded tmx files and archives for import\export

2INFO logging top-level functions entrances, return codes, etc. Default value.
3WARNING logging if we reached some commented or hardcoded code.  Usually commented code  here is replaced with new code, and if not, it's marked as ERROR level
4ERRORerrors, why and where something fails during parsing, search, etc
5FATAL

you shouldn't reach this code, something is really wrongOther values would be ignored.  The set level would stay the same till you change it in a new request or close the app. Logs suppose to be written into a file with date\time name under ~/.OtmMemoryService/Logs and errors/fatal are supposed to be duplicated in another log file with FATAL suffices

6TRANSACTION

 - Logs only things like begin\end of request etc.  No purpose to setup this hight

Logging could impact application speed very much, especially during import or export. 
You can setup the logging level from the config file or in any POST JSON request by attaching a parameter to a JSON object 
[loggingThreshold:"2"]

Like here 

POST http://localhost:4040/t5memory/example_tm/

{
sourceLang: “en”, // the source language is required for a new TM
name: „TM Name“,
loggingThreshold:"2"

}
This would set the logging level to INFO just before the main work of creating mem endpoint starts

Or in t5memory.conf file in line
logLevel=0 
Would set the log level to DEVELOP, this would be applied only after restarting of service



Working directory
PathDescription
~/.t5memoryThe main directory of service. Should always be under the home directory. Consists of nested folders and t5memory.conf file(see Config file). All directories\files below are nested
LOG

lIncludes log files. It should be cleanup manualy. One session(launch of service) creates two files Log_Thu May 12 10:15:48 2022 .log and Log_Thu May 12 10:15:48 2022 .log_IMPORTANT
Last have logs reduced to level Warning and higher. 

MEMMain data directory.  All tm files is stored here. One TM should include .TMD(data file), .TMI(index file), .MEM(properties file) with the same name as TM name
TABLEServices reserved readonly folder with tagtables, languages etc.
TEMPFor temporary files that were created for mainly import\export. On low debug leved(DEVELOP, DEBUG) should be cleaned manualy
t5memory.confMain config file(see config file)


Config directory should be located in a specific place




Config file

fielddefaultDescription
namet5memoryname of service that we use under %service% in address
port8080

service port

timeout3600service timeout
threads1
logLevel2logLevel - > see logging
AllowedRAM_MB1500

Ram limit to operate openning\closing TM(see Openning and closing TM)

Doesn't include services RAM
in Megabytes

TriplesThreshold33

Level of pre-fuzzy search filtering based on combinations  of triples of tokens(excluding tags). Could impact fuzzy search perfomance. For higher values service is faster, but could skip some segments in result. Not always corelated with resulted fuzzyRate 

Config file should be located under ~/.t5memory/t5memory.conf

Anyway, all field has default values so the service could start without the conf file

Reading\applying configs happen only once at service start

Once service started you should be able to see setup values in logs. 
Config file example:

Response
name=t5memory
port=4040
timeout=3600
threads=1
logLevel=0
AllowedRAM_MB=200
TriplesThreshold=5                 




Openning and closing TM

Opening and closing a TM

In first concept it was planned to implement routines to open and close a TM. While concepting we found some problemes with this approach:

  • First one is the realization: opening and closing a TM by REST would mean to update the TM Resource and set a state to open or close. This is very awkward.
  • Since in translate5 multiple tasks can be used to the same time, multiple tasks try to access one TM. Closing TMs is getting complicated to prevent race conditions in TM usage.
  • Since OpenTM2 loads the whole TM in memory, OpenTM2 must control itself which TMs are loaded or not.

This leads to the following conclusion in implementation of opening and closing of TMs:

OpenTM2 has to automatically load the requested TMs if requested. Also OpenTM2 has to close the TMs after a TM was not used for some time. That means that OpenTM2 has to track the timestamps when a TM was last requested.


Concept endpoints, not implemented

http://opentm2/translationmemory/[TM_Name]/openHandle

GET – Opens a memory for queries by OpenTM2

Note: This method is not required as memories are automatically opened when they are accessed for the first time.

http://opentm2/translationmemory/[TM_Name]/openHandle

DELETE – Closes a memory for queries by OpenTM2

Note: This method is not required as memories are automatically opened when they are accessed for the first time.


For now we open  TM in case of call to work with it. TM stays opened till the shutdown we wouldn't try to open more TM's, exceeding the RAM limit setupped in config file. 
In that case we would close TM in order of longest not used, till we would fit in limit including TM that we try to open.
 TM size is calcucated basicaly as sum .TMD and .TMI files
Ram limit doesn't include service RAM and temporary files




Previous documentation:

Response
http://opentm2/translationmemory/
POST - creating a new or importing an existing filebased binary OpenTM2 TM

The Parameter „name“ contains the TM Name as a string. The string has a maxlength of 256 chars. It can contain any characters except the characters backslash (\), slash(/), colon (:), question mark (?), asterisk (*), vertical line (|), less than sign (<), and greater than sign (>).

Uploading a file is optional, omitting a file means creating a empty TM only.

If an empty TM is created, the POST request contains only the JSON structure with the TM Name.

If an existing binary OpenTM2 file should be additionally imported to the new TM, the POST must be encoded as multipart/form-data.

The JSON structure with the meta data will then be in the first chunk of the multiparted request, the chunk must be named “meta”.

The second chunk contains the plain binary file content and must be named “data”. This binary data contains the TM content

The resulting body contains the name of the TM, as given in the POST request.




To OpenTM2 – without data / creating an empty TM:

{
sourceLang: “en”, // the source language is required for a new TM
name: „TM Name“,
[loggingThreshold:"2"]
}



Raw POST to OpenTM2 – with provided import file:

POST http://opentm2/translationmemory HTTP/1.1
Content-Type: multipart/form-data; boundary="autogenerated"

-- autogenerated
Content-Type: application/json; charset=utf-8
Content-Disposition: form-data; name=meta

{"name":"TM Name", sourceLang:"en"}

--autogenerated
Content-Type: image/jpeg
Content-Disposition: form-data; name=data; filename=Original Filename.jpg
...TM content ...
--autogenerated--





In both cases from OpenTM2 - HTTP 200 OK:

{

name: „TM Name“

}

Errors:
400 Bad Request – if parameters are missing or are not well formed.
409 Conflict – if a memory with the given name already exists.
500 Server Error – for other technical problems.
http://opentm2/translationmemory/[TM_Name]/import
POST import a TMX file into an existing OpenTM2 TM

To OpenTM2:

multipart/form-data like on POST above, expect that no separate JSON section is needed here.

Call answers directly after the upload is done, but before the import starts with HTTP 201 – this means: Import is created and will be started now.

From OpenTM2 - HTTP 201 OK:

{ // empty JSON object, since no data expected as result here!

}

Errors:
400 Bad Request – if parameters are missing or are not well formed.
404 Not Found – if the memory of the given name does not exist
500 Server Error – for other technical problems.
http://opentm2/translationmemory/[TM_Name]/status
GET status of a TM

To OpenTM2:

multipart/form-data like on POST above, expect that no separate JSON section is needed here.

From OpenTM2 - HTTP 200 OK:

{

‘status’:’import’ //allowed status values: import, available, error

}

Errors:
400 Bad Request – if parameters are missing or are not well formed.
404 Not Found – if the memory of the given name does not exist
500 Server Error – for other technical problems.
http://opentm2/translationmemory/
GET – retrieving a list of available TM Files

To OpenTM2: -

From OpenTM2 - HTTP 200 OK:

[{

name: 'my nice TM'

}]

Errors:
500 Server Error – for other technical problems.
http://opentm2/translationmemory/[TM_Name]/
TM_Name is URL-encoded
GET – retrieving a single TM File

To OpenTM2: -

From OpenTM2 - HTTP 200 OK:

Same as POST from OpenTM2 result.

Errors:
404 Not Found – if TM file to given [TMID] in URL was not found
500 Server Error – for other technical problems.
DELETE – deletes an existing TM File

Adressed by the given URL, no body needed.

Errors:
404 Not Found – if TM file to given [TMID] in URL was not found
500 Server Error – for other technical problems.
PUT – updating an existing TM File in one request

Currently not needed, would be only to change the TM name

GET – list of all segments from TM

Currently not needed.




http://opentm2/translationmemory/[TM_Name]/entry/
POST – creates a new entry or updates target entry if match pair already exists

This method updates an existing proposal when a proposal with the same key information (source text, language, segment number, and document name) exists.

Parameters sourceLang and targetLang are containing the languages as RFC5646.

Parameters source and target are containing the entry contents to be stored. Format? plain string?

Attribute Parameters:

documentName: contains the filename where the segment resides in Translate5.
context: evaluates to Translate5 segment mid.
markupTable: OpenTM2 gets a new markup table named „translate5“, so this is the value which is delivered by Translate5.
timestamp: this parameter is not set by translate5, but calculated automatically and delivered from OpenTM2 to translate5.
author: contains the named user which provides the update / new entry
In addition there are the following OpenTM2 Attributes currently not used by translate5:
segmentNumber
additional info
type

To OpenTM2:

{

sourceLang: 'de',

targetLang: 'en',

source: „Das ist das Haus des Nikolaus“,

target: „This is the house of St. Nicholas“,

documentName: 'my file.sdlxliff',

segmentNumber: ,

markupTable: 'translate5',

author: „Thomas Lauria“,

type: '',

timeStamp: '',

context: '123',

addInfo: '',

[loggingThreshold:"2"]

}

The result from the server contains the same data as posted to the server. No additonal ID is added, since the entries are identified by the whole source string instead by an ID, only the timestamp is added.

From OpenTM2 – HTTP 200 OK:

{

sourceLang: 'de',

targetLang: 'en',

source: „Das ist das Haus des Nikolaus“,

target: „This is the house of St. Nicholas“,

documentName: 'my file.sdlxliff',

segmentNumber: 123,

markupTable: 'translate5',

timestamp: '2015-05-12 13:46:12',

author: „Thomas Lauria“

}

Errors:
404 Not Found – if TM file to given [TM_Name] in URL was not found
500 Server Error – for other technical problems.
400 Bad Request – if JSON parameters are missing or are not well formed.





http://opentm2/translationmemory/[TM_Name]/fuzzysearch/
POST– Serves a memory lookup based on the provided search criteria

To OpenTM2:

{

sourceLang: 'de',

targetLang: 'en-US',

source: „Das ist das Haus des Nikolaus“,

documentName: 'my file.sdlxliff', // can be empty

segmentNumber: 123, // can be empty

markupTable: 'translate5', // can be empty

context: „xyz“, // can be empty

[loggingThreshold:"2"]

}

From OpenTM2 HTTP 200 OK:

{

'NumOfFoundProposals': 2,

'results':

[{

source: „Das ist das Haus des Nikolaus“,

target: „This is the house of St. Nicholas“,

sourceLang: 'de', ← rfc5646

targetLang: 'en', ← rfc5646

matchRate: '100',

documentName: 'my file.sdlxliff',

DocumentShortName: 'shortnam.txt',

id: 'identifier',

type: 'Manual',

matchType: 'Exact',

segmentNumber: 123,

markupTable: 'XYZ',

timestamp: '2015-05-12 13:46:12',

author: „Thomas Lauria“.

context: '',

addInfo: ''

},{

source: „Das ist das Haus des Nikolaus“,

target: „This is the house of St. Nicholas“,

sourceLang: 'de', ← rfc5646

targetLang: 'en', ← rfc5646

matchRate: '100',

documentName: 'my file.sdlxliff',

DocumentShortName: 'shortnam.txt',

id: 'identifier',

type: 'Manual',

matchType: 'Exact',

segmentNumber: 123,

markupTable: 'XYZ',

timestamp: '2015-05-12 13:46:12',

author: „Thomas Lauria“.

context: '',

addInfo: ''

}]}

Errors:
400 Bad Request – if search, query or language parameters are missing or are not well formed.
404 Not Found – if TM file to given [TM_Name] in URL was not found
500 Server Error – for other technical problems.





http://opentm2/translationmemory/[TM_Name]/concordancesearch /?
POST – Performs a context search of the given search string in the proposals contained in a memory. Returns one proposal per request.









To OpenTM2:

{

searchString: 'Haus des Nikolaus',

searchType: 'source', // values can be source or target

searchPosition: 123// can be empty; Position where a search should start in the memory, see below


numResults: 1,

msSearchAfterNumResults: 100 //number of milliseconds the search will continue, after the first result is found. All additional results that are found in this additional time will also be returned until numResults is reached. If numResults is reached before msSearchAfterNumResults is reached, the search will abort. If msSearchAfterNumResults is reached before numResults is reached, search is also aborted. All found results are delivered in both cases.

[loggingThreshold:"2"]

}

From OpenTM2 HTTP 200 OK:

{

NewSearchPosition: '123:54', /returns NULL, if end of TM is reached, see below


results:[{

source: „Das ist das Haus des Nikolaus“,

target: „This is the house of St. Nicholas“,

sourceLang: 'de', ← rfc5646

targetLang: 'en', ← rfc5646

matchRate: '100',

documentName: 'my file.sdlxliff',

DocumentShortName: 'shortnam.txt',

id: 'identifier',

type: 'Manual',

matchType: 'Exact',

segmentNumber: 123,

markupTable: 'XYZ',

timestamp: '2015-05-12 13:46:12',

author: „Thomas Lauria“.

context: '',

addInfo: ''

},{

source: „Das ist das Haus des Nikolaus“,

target: „This is the house of St. Nicholas“,

sourceLang: 'de', ← rfc5646

targetLang: 'en', ← rfc5646

matchRate: '100',

documentName: 'my file.sdlxliff',

DocumentShortName: 'shortnam.txt',

id: 'identifier',

type: 'Manual',

matchType: 'Exact',

segmentNumber: 123,

markupTable: 'XYZ',

timestamp: '2015-05-12 13:46:12',

author: „Thomas Lauria“.

context: '',

addInfo: ''

}]}

Errors:
400 Bad Request – if search, query or language parameters are missing or are not well formed.
404 Not Found – if TM file to given [TM_Name] in URL was not found
500 Server Error – for other technical problems.                  
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