Searching and Tags
Tags
Search operators
Operator | values | Explanation |
by: | String | The creator of the document |
tag: | String | document with given tag |
!tag: | String | document without given tag |
before: | date (allowed formats: yyyy or yyyy-MM or yyyy-MM-dd) | created before date |
ubefore: | date (allowed formats: yyyy or yyyy-MM or yyyy-MM-dd) | edited before date |
after: | date (allowed formats: yyyy or yyyy-MM or yyyy-MM-dd) | created after date |
uafter: | date (allowed formats: yyyy or yyyy-MM or yyyy-MM-dd) | edited after date |
at: | date (allowed formats: yyyy or yyyy-MM or yyyy-MM-dd) | created at date |
uat: | date (allowed formats: yyyy or yyyy-MM or yyyy-MM-dd) | edited at date |
lang: | "eng", "fra", "ita", "deu", "spa", "por", "pol", "rus", "ukr", "ara", "hin", "chi_sim", "chi_tra", "jpn", "tha", "kor", "nld", "tur", "heb" | language |
mime: |
does not work yet!
|
|
shared: | yes, no | |
workflow: | "me", String | |
full: | String |
Use OCR full-text search (files must have been processed with Tesseract!) - full search is default since Teedy 1.9 |
simple: | String | Performs simple search instead full search (ignores OCR) |
* |
Wildcard only possible at the end of the search input string. Not allowed before or in a word |
|
| |
Pipe operator. Use this to filter things like "or". Example
|
|
"<string>" |
phrases can be put into quotes. This will return a more exact result. For example:
|
The operators ?, NOT, AND, OR are not possible - they do nothing. Lucene Core Dokumentation → Most operators unfortunately don't work in Teedy.
All other things which cannot be expressed by the given search parameters can be scripted by SQL queries for H2 or PSQL database instead. You will need to have according access to do this.
You can find a lot of useful SQL statement for filtering out your DMS in our Grafana Dashboard → Grafana Monitoring / Statistics
Example scheme for document title for things like invocies
<YYYY>\<MM> - <creditor> <type> <document number> [#<index>]
Search Filter - Combination from words, tags and other operators
Example: find documents which are tagged by invoice and company and which have "01" and "2018" in their title
tag:company tag:invoice 2018 01
Keine Kommentare