# tmserver

tmserver is a Translation Memory service that can be queried via HTTP using a simple REST like URL/http and data is exchanged between server and client encoded in JSON.

Note

If you are searching for an enterprise Translation Memory server then rather use amaGama.

## Usage

    tmserver.py --bind=HOSTNAME --port=PORT [--tmdb=TMDBFILE] [--import-translation-file=TMFILE [--import-source-lang=SOURCE_LANG] [--import-target-lang=TARGET_LANG]]

Where:

TMDBFILE | is the SQLite database file containing translation memory data, if not specified a new temporary database is created
TMFILE | is a translation file (po, xliff, etc.) that should be imported into the database (mostly useful when no tmdb file is specified).

Options:

`-h, --help` | show this help message and exit
`-d TMDBFILE, --tmdb=TMDBFILE`
| translation memory database file
`-f TMFILES, --import-translation-file=TMFILES`
| translation file to import into the database
`-t TARGET_LANG, --import-target-lang=TARGET_LANG`
| target language of translation files
`-s SOURCE_LANG, --import-source-lang=SOURCE_LANG`
| source language of translation files
`-b BIND, --bind=BIND`
| address to bind server to (default: localhost)
`-p PORT, --port=PORT`
| port to listen on (default: 8888)
`--max-candidates=MAX_CANDIDATES`
| Maximum number of candidates
`--min-similarity=MIN_SIMILARITY`
| minimum similarity
`--max-length=MAX_LENGTH`
| Maxmimum string length
`--debug` | enable debugging features

## Testing

easiest way to run the server for testing is to pass it a large translation file (maybe generated by pocompendium) to create a tmdb database on the fly.

    tmserver -b localhost -p 8080 -f compendium.po -s en_US -t ar

The server can be queried using a webbrowser. the url would be:

    http://HOST:PORT/tmserver/SOURCE_LANG/TARGET_LANG/unit/STRING

So to see suggestions for “open file” try the url http://localhost:8080/tmserver/en_US/ar/unit/open+file