diff --git a/artwork/search.svg b/artwork/search.svg
deleted file mode 100644
index 9a620ee3..00000000
--- a/artwork/search.svg
+++ /dev/null
@@ -1,159 +0,0 @@
-
-
-
-
diff --git a/artwork/stow.svg b/artwork/stow.svg
deleted file mode 100644
index d53b8cb9..00000000
--- a/artwork/stow.svg
+++ /dev/null
@@ -1,161 +0,0 @@
-
-
-
-
diff --git a/artwork/tag.svg b/artwork/tag.svg
deleted file mode 100644
index 3809c0dc..00000000
--- a/artwork/tag.svg
+++ /dev/null
@@ -1,90 +0,0 @@
-
-
-
-
diff --git a/modules/microsite/docs/CNAME b/modules/microsite/docs/CNAME
deleted file mode 100644
index 6119fdf9..00000000
--- a/modules/microsite/docs/CNAME
+++ /dev/null
@@ -1 +0,0 @@
-docspell.org
\ No newline at end of file
diff --git a/modules/microsite/docs/api.md b/modules/microsite/docs/api.md
deleted file mode 100644
index ce7e9291..00000000
--- a/modules/microsite/docs/api.md
+++ /dev/null
@@ -1,92 +0,0 @@
----
-layout: docs
-title: Api
-permalink: api
----
-
-# {{page.title}}
-
-Docspell is designed as a REST server that uses JSON to exchange
-data. The REST api can be used to integrate docspell into your
-workflow.
-
-[Docspell REST Api Doc](openapi/docspell-openapi.html)
-
-The "raw" `openapi.yml` specification file can be found
-[here](openapi/docspell-openapi.yml).
-
-The routes can be divided into protected and unprotected routes. The
-unprotected, or open routes are at `/open/*` while the protected
-routes are at `/sec/*`. Open routes don't require authenticated access
-and can be used by any user. The protected routes require an
-authenticated user.
-
-## Authentication
-
-The unprotected route `/open/auth/login` can be used to login with
-account name and password. The response contains a token that can be
-used for accessing protected routes. The token is only valid for a
-restricted time which can be configured (default is 5 minutes).
-
-New tokens can be generated using an existing valid token and the
-protected route `/sec/auth/session`. This will return the same
-response as above, giving a new token.
-
-This token can be added to requests in two ways: as a cookie header or
-a "normal" http header. If a cookie header is used, the cookie name
-must be `docspell_auth` and a custom header must be named
-`X-Docspell-Auth`.
-
-## Live Api
-
-Besides the statically generated documentation at this site, the rest
-server provides a swagger generated api documenation, that allows
-playing around with the api. It requires a running docspell rest
-server. If it is deployed at `http://localhost:7880`, then check this
-url:
-
-```
-http://localhost:7880/api/doc
-```
-
-## Examples
-
-These examples use the great command line tool
-[curl](https://curl.haxx.se/).
-
-### Login
-
-```
-$ curl -X POST -d '{"account": "smith", "password": "test"}' http://localhost:7880/api/v1/open/auth/login
-{"collective":"smith"
-,"user":"smith"
-,"success":true
-,"message":"Login successful"
-,"token":"1568142350115-ZWlrZS9laWtl-$2a$10$rGZUFDAVNIKh4Tj6u6tlI.-O2euwCvmBT0TlyDmIHR1ZsLQPAI="
-,"validMs":300000
-}
-```
-
-### Get new token
-
-```
-$ curl -XPOST -H 'X-Docspell-Auth: 1568142350115-ZWlrZS9laWtl-$2a$10$rGZUFDAVNIKh4Tj6u6tlI.-O2euwCvmBT0TlyDmIHR1ZsLQPAI=' http://localhost:7880/api/v1/sec/auth/session
-{"collective":"smith"
-,"user":"smith"
-,"success":true
-,"message":"Login successful"
-,"token":"1568142446077-ZWlrZS9laWtl-$2a$10$3B0teJ9rMpsBJPzHfZZPoO-WeA1bkfEONBN8fyzWE8DeaAHtUc="
-,"validMs":300000
-}
-```
-
-### Get some insights
-
-```
-$ curl -H 'X-Docspell-Auth: 1568142446077-ZWlrZS9laWtl-$2a$10$3B0teJ9rMpsBJPzHfZZPoO-WeA1bkfEONBN8fyzWE8DeaAHtUc=' http://localhost:7880/api/v1/sec/collective/insights
-{"incomingCount":3
-,"outgoingCount":1
-,"itemSize":207310
-,"tagCloud":{"items":[]}
-}
-```
diff --git a/modules/microsite/docs/demo.md b/modules/microsite/docs/demo.md
deleted file mode 100644
index 234b60f3..00000000
--- a/modules/microsite/docs/demo.md
+++ /dev/null
@@ -1,22 +0,0 @@
----
-layout: docs
-title: Demo
-permalink: demo
----
-
-# {{ page.title }}
-
-## Finding Items
-
-
-
-
-## Basic Idea (First Version)
-
-
diff --git a/modules/microsite/docs/dev.md b/modules/microsite/docs/dev.md
deleted file mode 100644
index 3211d3e7..00000000
--- a/modules/microsite/docs/dev.md
+++ /dev/null
@@ -1,128 +0,0 @@
----
-layout: docs
-title: Development
-permalink: dev
----
-
-
-# {{page.title}}
-
-
-## Building
-
-[Sbt](https://scala-sbt.org) is used to build the application. Clone
-the sources and run:
-
-- `make` to compile all sources (Elm + Scala)
-- `make-zip` to create zip packages
-- `make-deb` to create debian packages
-- `make-tools` to create a zip containing the script in `tools/`
-- `make-pkg` for a clean compile + building all packages (zip + deb)
-
-The zip files can be found afterwards in:
-
-```
-modules/restserver/target/universal
-modules/joex/target/universal
-```
-
-
-## Starting Servers with `reStart`
-
-When developing, it's very convenient to use the [revolver sbt
-plugin](https://github.com/spray/sbt-revolver). Start the sbt console
-and then run:
-
-```
-sbt:docspell-root> restserver/reStart
-```
-
-This starts a REST server. Once this started up, type:
-
-```
-sbt:docspell-root> joex/reStart
-```
-
-if also a joex component is required. Prefixing the commads with `~`,
-results in recompile+restart once a source file is modified.
-
-It is possible to start both in the root project:
-
-```
-sbt:docspell-root> reStart
-```
-
-
-## Custom config file
-
-The sbt build is setup such that a file `dev.conf` in the directory
-`local` (at root of the source tree) is picked up as config file, if
-it exists. So you can create a custom config file for development. For
-example, a custom database for development may be setup this way:
-
-```
-#jdbcurl = "jdbc:h2:///home/dev/workspace/projects/docspell/local/docspell-demo.db;MODE=PostgreSQL;DATABASE_TO_LOWER=TRUE;AUTO_SERVER=TRUE"
-jdbcurl = "jdbc:postgresql://localhost:5432/docspelldev"
-#jdbcurl = "jdbc:mariadb://localhost:3306/docspelldev"
-
-docspell.server {
- backend {
- jdbc {
- url = ${jdbcurl}
- user = "dev"
- password = "dev"
- }
- }
-}
-
-docspell.joex {
- jdbc {
- url = ${jdbcurl}
- user = "dev"
- password = "dev"
- }
- scheduler {
- pool-size = 1
- }
-}
-```
-
-## Nix Expressions
-
-The directory `/nix` contains nix expressions to install docspell via
-the nix package manager and to integrate it into NixOS.
-
-### Testing NixOS Modules
-
-The modules can be build by building the `configuration-test.nix` file
-together with some nixpkgs version. For example:
-
-``` bash
-nixos-rebuild build-vm -I nixos-config=./configuration-test.nix \
- -I nixpkgs=https://github.com/NixOS/nixpkgs-channels/archive/nixos-19.09.tar.gz
-```
-
-This will build all modules imported in `configuration-test.nix` and
-create a virtual machine containing the system. After that completes,
-the system configuration can be found behind the `./result/system`
-symlink. So it is possible to look at the generated systemd config for
-example:
-
-``` bash
-cat result/system/etc/systemd/system/docspell-joex.service
-```
-
-And with some more commands (there probably is an easier way…) the
-config file can be checked:
-
-``` bash
-cat result/system/etc/systemd/system/docspell-joex.service | grep ExecStart | cut -d'=' -f2 | xargs cat | tail -n1 | awk '{print $NF}'| sed 's/.$//' | xargs cat | jq
-```
-
-To see the module in action, the vm can be started (the first line
-sets more memory for the vm):
-
-``` bash
-export QEMU_OPTS="-m 2048"
-./result/bin/run-docspelltest-vm
-```
diff --git a/modules/microsite/docs/dev/adr.md b/modules/microsite/docs/dev/adr.md
deleted file mode 100644
index 8410f065..00000000
--- a/modules/microsite/docs/dev/adr.md
+++ /dev/null
@@ -1,26 +0,0 @@
----
-layout: docs
-title: ADRs
-permalink: dev/adr
----
-
-# ADR
-
-Some early information about certain details can be found in a few
-[ADR](https://adr.github.io/) that exist:
-
-- [0001 Components](adr/0001_components)
-- [0002 Component Interaction](adr/0002_component_interaction)
-- [0003 Encryption](adr/0003_encryption)
-- [0004 ISO8601 vs Unix](adr/0004_iso8601vsEpoch)
-- [0005 Job Executor](adr/0005_job-executor)
-- [0006 More File Types](adr/0006_more-file-types)
- - [0007 Convert HTML](adr/0007_convert_html_files)
- - [0008 Convert Text](adr/0008_convert_plain_text)
- - [0009 Convert Office Files](adr/0009_convert_office_docs)
- - [0010 Convert Image Files](adr/0010_convert_image_files)
- - [0011 Extract Text](adr/0011_extract_text)
-- [0012 Periodic Tasks](adr/0012_periodic_tasks)
-- [0013 Archive Files](adr/0013_archive_files)
-- [0014 Full-Text Search](adr/0014_fulltext_search_engine)
-- [0015 Convert PDF files](adr/0015_convert_pdf_files)
diff --git a/modules/microsite/docs/dev/adr/0000_use_markdown_architectural_decision_records.md b/modules/microsite/docs/dev/adr/0000_use_markdown_architectural_decision_records.md
deleted file mode 100644
index 8209471a..00000000
--- a/modules/microsite/docs/dev/adr/0000_use_markdown_architectural_decision_records.md
+++ /dev/null
@@ -1,39 +0,0 @@
----
-layout: docs
-title: Use Markdown Architectural Decision Records
-permalink: dev/adr/0000
----
-
-# Use Markdown Architectural Decision Records
-
-## Context and Problem Statement
-
-We want to [record architectural decisions](https://adr.github.io/)
-made in this project. Which format and structure should these records
-follow?
-
-## Considered Options
-
-* [MADR](https://adr.github.io/madr/) 2.1.0 - The Markdown Architectural Decision Records
-* [Michael Nygard's template](http://thinkrelevance.com/blog/2011/11/15/documenting-architecture-decisions) - The first incarnation of the term "ADR"
-* [Sustainable Architectural
- Decisions](https://www.infoq.com/articles/sustainable-architectural-design-decisions) -
- The Y-Statements
-* Other templates listed at
-
-* Formless - No conventions for file format and structure
-
-## Decision Outcome
-
-Chosen option: "MADR 2.1.0", because
-
-* Implicit assumptions should be made explicit. Design documentation
- is important to enable people understanding the decisions later on.
- See also [A rational design process: How and why to fake
- it](https://doi.org/10.1109/TSE.1986.6312940).
-* The MADR format is lean and fits our development style.
-* The MADR structure is comprehensible and facilitates usage &
- maintenance.
-* The MADR project is vivid.
-* Version 2.1.0 is the latest one available when starting to document
- ADRs.
diff --git a/modules/microsite/docs/dev/adr/0001_components.md b/modules/microsite/docs/dev/adr/0001_components.md
deleted file mode 100644
index b1e051fd..00000000
--- a/modules/microsite/docs/dev/adr/0001_components.md
+++ /dev/null
@@ -1,67 +0,0 @@
----
-layout: docs
-title: Components
-permalink: dev/adr/0001_components
----
-
-# Components
-
-## Context and Problem Statement
-
-How should the application be structured into its main components? The
-goal is to be able to have multiple rest servers/webapps and multiple
-document processor components working togehter.
-
-
-## Decision Outcome
-
-The following are the "main" modules. There may be more helper modules
-and libraries that support implementing a feature.
-
-### store
-
-The code related to database access. It also provides the job
-queue. It is designed as a library.
-
-### joex
-
-Joex stands for "job executor".
-
-An application that executes jobs from the queue and therefore depends
-on the `store` module. It provides the code for all tasks that can be
-submitted as jobs. If no jobs are in the queue, the joex "sleeps"
-and must be waked via an external request.
-
-It provides the document processing code.
-
-It provides a http rest server to get insight into the joex state
-and also to be notified for new jobs.
-
-### backend
-
-It provides all the logic, except document processing, as a set of
-"operations". An operation can be directly mapped to a rest
-endpoint.
-
-It is designed as a library.
-
-### rest api
-
-This module contains the specification for the rest server as an
-`openapi.yml` file. It is packaged as a scala library that also
-provides types and conversions to/from json.
-
-The idea is that the `rest server` module can depend on it as well as
-rest clients.
-
-### rest server
-
-This is the main application. It directly depends on the `backend`
-module, and each rest endpoint maps to a "backend operation". It is
-also responsible for converting the json data inside http requests
-to/from types recognized by the `backend` module.
-
-
-### webapp
-
-This module provides the user interface as a web application.
diff --git a/modules/microsite/docs/dev/adr/0002_component_interaction.md b/modules/microsite/docs/dev/adr/0002_component_interaction.md
deleted file mode 100644
index 1a94c30f..00000000
--- a/modules/microsite/docs/dev/adr/0002_component_interaction.md
+++ /dev/null
@@ -1,66 +0,0 @@
----
-layout: docs
-title: Component Interaction
-permalink: dev/adr/0002_component_interaction
----
-
-# Component Interaction
-
-## Context and Problem Statement
-
-There are multiple web applications with their rest servers and there
-are multiple document processors. These processes must communicate:
-
-- once a new job is added to the queue the rest server must somehow
- notify processors to wake up
-- once a processor takes a job, it must propagate the progress and
- outcome to all rest servers only that the rest server can notify the
- user that is currently logged in. Since it's not known which
- rest-server the user is using right now, all must be notified.
-
-## Considered Options
-
-1. JMS (ActiveMQ or similiar): Message Broker as another active
- component
-2. Akka: using a cluster
-3. DB: Register with "call back urls"
-
-## Decision Outcome
-
-Choosing option 3: DB as central synchronisation point.
-
-The reason is that this is the simplest solution and doesn't require
-external libraries or more processes. The other options seem too big
-of a weapon for the task at hand. They are both large components
-itself and require more knowledge to use them efficiently.
-
-It works roughly like this:
-
-- rest servers and processors register at the database on startup each
- with a unique call-back url
-- and deregister on shutdown
-- each component has db access
-- rest servers can list all processors and vice versa
-
-### Positive Consequences
-
-- complexity of the whole application is not touched
-- since a lot of data must be transferred to the document processors,
- this is solved by simply accessing the db. So the protocol for data
- exchange is set. There is no need for other protocols that handle
- large data (http chunking etc)
-- uses the already exsting db as synchronisation point
-- no additional knowledge required
-- simple to understand and so not hard to debug
-
-### Negative Consequences
-
-- all components must have db access. this also is a security con,
- because if one of those processes is hacked, db access is
- possible. and it simply is another dependency that is not really
- required for the joex component
-- the joex component cannot be in an untrusted environment (untrusted
- from the db's point of view). For example, it is not possible to
- create "personal joex" that only receive your own jobs…
-- in order to know if a component is really active, one must run a
- ping against the call-back url
diff --git a/modules/microsite/docs/dev/adr/0003_encryption.md b/modules/microsite/docs/dev/adr/0003_encryption.md
deleted file mode 100644
index 4d4ef7ff..00000000
--- a/modules/microsite/docs/dev/adr/0003_encryption.md
+++ /dev/null
@@ -1,96 +0,0 @@
----
-layout: docs
-title: Encryption
-permalink: dev/adr/0003_encryption
----
-
-# Encryption
-
-
-## Context and Problem Statement
-
-Since docspell may store important documents, it should be possible to
-encrypt them on the server. It should be (almost) transparent to the
-user, for example, a user must be able to login and download a file in
-clear form. That is, the server must also decrypt them.
-
-Then all users of a collective should have access to the files. This
-requires to share the key among users of a collective.
-
-But, even when files are encrypted, the associated meta data is not!
-So especially access to the database would allow to see tags,
-associated persons and correspondents of documents.
-
-So in short, encryption means:
-
-- file contents (the blobs and extracted text) is encrypted
-- metadata is not
-- secret keys are stored at the server (protected by a passphrase),
- such that files can be downloaded in clear form
-
-
-## Decision Drivers
-
-* major driver is to provide most possible privacy for users
-* even at the expense of less features; currently I think that the
- associated meta data is enough for finding documents (i.e. full text
- search is not needed)
-
-## Considered Options
-
-It is clear, that only blobs (file contents) can be encrypted, but not
-the associated metadata. And the extracted text must be encrypted,
-too, obviously.
-
-
-### Public Key Encryption (PKE)
-
-With PKE that the server can automatically encrypt files using
-publicly available key data. It wouldn't require a user to provide a
-passphrase for encryption, only for decryption.
-
-This would allows for first processing files (extracting text, doing
-text analyisis) and encrypting them (and the text) afterwards.
-
-The public and secret keys are stored at the database. The secret key
-must be protected. This can be done by encrypting the passphrase to
-the secret key using each users login password. If a user logs in, he
-or she must provide the correct password. Using this password, the
-private key can be unlocked. This requires to store the private key
-passphrase encrypted with every users password in the database. So the
-whole security then depends on users password quality.
-
-There are plenty of other difficulties with this approach (how about
-password change, new secret keys, adding users etc).
-
-Using this kind of encryption would protect the data against offline
-attacks and also for accidental leakage (for example, if a bug in the
-software would access a file of another user).
-
-
-### No Encryption
-
-If only blobs are encrypted, against which type of attack would it
-provide protection?
-
-The users must still trust the server. First, in order to provide the
-wanted features (document processing), the server must see the file
-contents. Then, it will receive and serve files in clear form, so it
-has access to them anyways.
-
-With that in mind, the "only" feature is to protect against "stolen
-database" attacks. If the database is somehow leaked, the attackers
-would only see the metadata, but not real documents. It also protects
-against leakage, maybe caused by a pogramming error.
-
-But the downside is, that it increases complexity *a lot*. And since
-this is a personal tool for personal use, is it worth the effort?
-
-
-## Decision Outcome
-
-No encryption, because of its complexity.
-
-For now, this tool is only meant for "self deployment" and personal
-use. If this changes or there is enough time, this decision should be
-reconsidered.
diff --git a/modules/microsite/docs/dev/adr/0004_iso8601vsEpoch.md b/modules/microsite/docs/dev/adr/0004_iso8601vsEpoch.md
deleted file mode 100644
index 174a9808..00000000
--- a/modules/microsite/docs/dev/adr/0004_iso8601vsEpoch.md
+++ /dev/null
@@ -1,43 +0,0 @@
----
-layout: docs
-title: ISO8601 vs Millis
-permalink: dev/adr/0004_iso8601vsEpoch
----
-
-# ISO8601 vs Millis as Date-Time transfer
-
-## Context and Problem Statement
-
-The question is whether the REST Api should return an ISO8601
-formatted string in UTC timezone, or the unix time (number of
-milliseconds since 1970-01-01).
-
-There is quite some controversy about it.
-
--
--
-
-In my opinion, the ISO8601 format (always UTC) is better. The reason
-is the better readability. But elm folks are on the other side:
-
--
--
-
-One can convert from an ISO8601 date-time string in UTC time into the
-epoch millis and vice versa. So it is the same to me. There is no less
-information in a ISO8601 string than in the epoch millis.
-
-To avoid confusion, all date/time values should use the same encoding.
-
-## Decision Outcome
-
-I go with the epoch time. Every timestamp/date-time values is
-transfered as Unix timestamp.
-
-Reasons:
-
-- the Elm application needs to frequently calculate with these values
- to render the current waiting time etc. This is better if there are
- numbers without requiring to parse dates first
-- Since the UI is written with Elm, it's probably good to adopt their
- style
diff --git a/modules/microsite/docs/dev/adr/0005_job-executor.md b/modules/microsite/docs/dev/adr/0005_job-executor.md
deleted file mode 100644
index 8d1add2d..00000000
--- a/modules/microsite/docs/dev/adr/0005_job-executor.md
+++ /dev/null
@@ -1,137 +0,0 @@
----
-layout: docs
-title: Joex - Job Executor
-permalink: dev/adr/0005_job-executor
----
-
-# Job Executor
-
-## Context and Problem Statement
-
-Docspell is a multi-user application. When processing user's
-documents, there must be some thought on how to distribute all the
-processing jobs on a much more restricted set of resources. There
-maybe 100 users but only 4 cores that can process documents at a
-time. Doing simply FIFO is not enough since it provides an unfair
-distribution. The first user who submits 20 documents will then occupy
-all cores for quite some time and all other users would need to wait.
-
-This tries to find a more fair distribution among the users (strictly
-meaning collectives here) of docspell.
-
-The job executor is a separate component that will run in its own
-process. It takes the next job from the "queue" and executes the
-associated task. This is used to run the document processing jobs
-(text extraction, text analysis etc).
-
-1. The task execution should survive restarts. State and task code
- must be recreated from some persisted state.
-
-2. The processing should be fair with respect to collectives.
-
-3. It must be possible to run many job executors, possibly on
- different machines. This can be used to quickly enable more
- processing power and removing it once the peak is over.
-
-4. Task execution can fail and it should be able to retry those
- tasks. Reasons are that errors may be temporarily (for example
- talking to a third party service), and to enable repairing without
- stopping the job executor. Some errors might be easily repaired (a
- program was not installed or whatever). In such a case it is good
- to know that the task will be retried later.
-
-## Considered Options
-
-In contrast to other ADRs this is just some sketching of thoughts for
-the current implementation.
-
-1. Job description are serialized and written to the database into a
- table. This becomes the queue. Tasks are identified by names and a
- job executor implementation must have a map of names to code to
- lookup the task to perform. The tasks arguments are serialized into
- a string and written to the database. Tasks must decode the
- string. This can be conveniently done using JSON and the provided
- circe decoders.
-
-2. To provide a fair execution jobs are organized into groups. When a
- new job is requested from the queue, first a group is selected
- using a round-robin strategy. This should ensure good enough
- fairness among groups. A group maps to a collective. Within a
- group, a job is selected based on priority, submitted time (fifo)
- and job state (see notes about stuck jobs).
-
-3. Allowing multiple job executors means that getting the next job can
- fail due to simultaneous running transactions. It is retried until
- it succeeds. Taking a job puts in into _scheduled_ state. Each job
- executor has a unique (manually supplied) id and jobs are marked
- with that id once it is handed to the executor.
-
-4. When a task fails, its state is updated to state _stuck_. Stuck
- jobs are retried in the future. The queue prefers to return stuck
- jobs that are due at the specific point in time ignoring the
- priority hint.
-
-### More Details
-
-A job has these properties
-
-- id (something random)
-- group
-- taskname (to choose task to run)
-- submitted-date
-- worker (the id of the job executor)
-- state, one of: waiting, scheduled, running, stuck, cancelled,
- failed, success
- - waiting: job has been inserted into the queue
- - scheduled: job has been handed over to some executore and is
- marked with the job executor id
- - running: a task is currently executing
- - stuck: a task has failed and is being retried eventually
- - cancelled: task has finished and there was a cancel request
- - failed: task has failed, execeeded the retries
- - success: task has completed successfully
-
-The queue has a `take` or `nextJob` operation that takes the worker-id
-and a priority hint and goes roughly like this:
-
-- select the next group using round-robin strategy
-- select all jobs with that group, where
- - state is stuck and waiting time has elapsed
- - state is waiting and have the given priority if possible
-- jobs are ordered by submitted time, but stuck jobs whose waiting
- time elapsed are preferred
-
-There are two priorities within a group: high and low. A configured
-counting scheme determines when to select certain priority. For
-example, counting scheme of `(2,1)` would select two high priority
-jobs and then 1 low priority job. The `take` operation tries to prefer
-this priority but falls back to the other if no job with this priority
-is available.
-
-A group corresponds to a collective. Then all collectives get
-(roughly) equal treatment.
-
-Once there are no jobs in the queue the executor goes into sleep and
-must be waked to run again. If a job is submitted, the executors are
-notified.
-
-### Stuck Jobs
-
-A job is going into _stuck_ state, if the task has failed. In this
-state, the task is rerun after a while until a maximum retry count is
-reached.
-
-The problem is how to notify all executors when the waiting time has
-elapsed. If one executor puts a job into stuck state, it means that
-all others should start looking into the queue again after `x`
-minutes. It would be possible to tell all existing executors to
-schedule themselves to wake up in the future, but this would miss all
-executors that show up later.
-
-The waiting time is increased exponentially after each retry (`2 ^
-retry`) and it is meant as the minimum waiting time. So it is ok if
-all executors wakeup periodically and check for new work. Most of the
-time this should not be necessary and is just a fallback if only stuck
-jobs are in the queue and nothing is submitted for a long time. If the
-system is used, jobs get submitted once in a while and would awake all
-executors.
diff --git a/modules/microsite/docs/dev/adr/0006_more-file-types.md b/modules/microsite/docs/dev/adr/0006_more-file-types.md
deleted file mode 100644
index d406ade7..00000000
--- a/modules/microsite/docs/dev/adr/0006_more-file-types.md
+++ /dev/null
@@ -1,155 +0,0 @@
----
-layout: docs
-title: More File Types
-permalink: dev/adr/0006_more-file-types
----
-
-# More File Types
-
-## Context and Problem Statement
-
-Docspell currently only supports PDF files. This has simplified early
-development and design a lot and so helped with starting the project.
-Handling pdf files is usually easy (to view, to extract text, print
-etc).
-
-The pdf format has been chosen, because PDFs files are very common and
-can be viewed with many tools on many systems (i.e. non-proprietary
-tools). Docspell also is a document archive and from this perspective,
-it is important that documents can be viewed in 10 years and more. The
-hope is, that the PDF format is best suited for this. Therefore all
-documents in Docspell must be accessible as PDF. The trivial solution
-to this requirement is to only allow PDF files.
-
-Support for more document types, must then take care of the following:
-
-- extracting text
-- converting into pdf
-- access original file
-
-Text should be extracted from the source file, in case conversion is
-not lossless. Since Docspell can already extract text from PDF files
-using OCR, text can also be extracted from the converted file as a
-fallback.
-
-The original file must always be accessible. The main reason is that
-all uploaded data should be accessible without any modification. And
-since the conversion may not always create best results, the original
-file should be kept.
-
-
-## Decision Drivers
-
-People expect that software like Docspell support the most common
-document types, like all the “office documents” (`docx`, `rtf`, `odt`,
-`xlsx`, …) and images. For many people it is more common to create
-those files instead of PDF. Some (older) scanners may not be able to
-scan into PDF files but only to image files.
-
-
-## Considered Options
-
-This ADR does not evaluate different options. It rather documents why
-this feature is realized and the thoughts that lead to how it is
-implemented.
-
-## Realization
-
-### Data Model
-
-The `attachment` table holds one file. There will be another table
-`attachment_source` that holds the original file. It looks like this:
-
-``` sql
-CREATE TABLE "attachment_source" (
- "id" varchar(254) not null primary key,
- "file_id" varchar(254) not null,
- "filename" varchar(254),
- "created" timestamp not null,
- foreign key ("file_id") references "filemeta"("id"),
- foreign key ("id") references "attachment"("attachid")
-);
-```
-
-The `id` is the primary key and is the same as the associated
-`attachment`, creating a `1-1` relationship (well, more correct is
-`0..1-1`) between `attachment` and `attachment_source`.
-
-There will always be a `attachment_source` record for every
-`attachment` record. If the original file is a PDF already, then both
-table's `file_id` columns point to the same file. But now the user can
-change the filename of an `attachment` while the original filename is
-preserved in `attachment_source`. It must not be possible for the user
-to change anything in `attachment_source`.
-
-The `attachment` table is not touched in order to keep current code
-mostly unchanged and to have a simpler data migration. The downside
-is, that the data model allows to have an `attachment` record without
-an `attachment_source` record. OTOH, a foreign key inside `attachment`
-pointing to an `attachment_source` is also not correct, because it
-allows the same `attachment_source` record to be associated with many
-`attachment` records. This would do even more harm, in my opinion.
-
-### Migration
-
-Creating a new table and not altering existing ones, should simplify
-data migration.
-
-Since only PDF files where allowed and the user could not change
-anything in the `attachment` table, the existing data can simply be
-inserted into the new table. This presents the trivial case where the
-attachment and source are the same.
-
-
-### Processing
-
-The first step in processing is now converting the file into a pdf. If
-it already is a pdf, nothing is done. This step is before text
-extraction, so text can first be tried to extract from the source file
-and only if that fails (or is not supported), text can be extracted
-from the converted pdf file. All remaining steps are untouched.
-
-If conversion is not supported for the input file, it is skipped. If
-conversion fails, the error is propagated to let the retry mechanism
-take care.
-
-#### What types?
-
-Which file types should be supported? At a first step, all major
-office documents, common images, plain text (i.e. markdown) and html
-should be supported. In terms of file extensions: `doc`, `docx`,
-`xls`, `xlsx`, `odt`, `md`, `html`, `txt`, `jpg`, `png`, `tif`.
-
-There is always the preference to use jvm internal libraries in order
-to be more platform independent and to reduce external dependencies.
-But this is not always possible (like doing OCR).
-
-
-
-
-
-#### Conversion
-
-- Office documents (`doc`, `docx`, `xls`, `xlsx`, `odt`, `ods`):
- unoconv (see [ADR 9](0009_convert_office_docs))
-- HTML (`html`): wkhtmltopdf (see [ADR 7](0007_convert_html_files))
-- Text/Markdown (`txt`, `md`): Java-Lib flexmark + wkhtmltopdf
-- Images (`jpg`, `png`, `tif`): Tesseract (see [ADR
- 10](0010_convert_image_files))
-
-#### Text Extraction
-
-- Office documents (`doc`, `docx`, `xls`, `xlsx`): Apache Poi
-- Office documends (`odt`, `ods`): Apache Tika (including the sources)
-- HTML: not supported, extract text from converted PDF
-- Images (`jpg`, `png`, `tif`): Tesseract
-- Text/Markdown: n.a.
-- PDF: Apache PDFBox or Tesseract
-
-## Links
-
-* [Convert HTML Files](0007_convert_html_files)
-* [Convert Plain Text](0008_convert_plain_text)
-* [Convert Office Documents](0009_convert_office_docs)
-* [Convert Image Files](0010_convert_image_files)
-* [Extract Text from Files](0011_extract_text)
diff --git a/modules/microsite/docs/dev/adr/0007_convert_html_files.md b/modules/microsite/docs/dev/adr/0007_convert_html_files.md
deleted file mode 100644
index c121a879..00000000
--- a/modules/microsite/docs/dev/adr/0007_convert_html_files.md
+++ /dev/null
@@ -1,72 +0,0 @@
----
-layout: docs
-title: Convert HTML Files
-permalink: dev/adr/0007_convert_html_files
----
-
-# {{ page.title }}
-
-## Context and Problem Statement
-
-How can HTML documents be converted into a PDF file that looks as much
-as possible like the original?
-
-It would be nice to have a java-only solution. But if an external tool
-has a better outcome, then an external tool is fine, too.
-
-Since Docspell is free software, the tools must also be free.
-
-
-## Considered Options
-
-* [pandoc](https://pandoc.org/) external command
-* [wkhtmltopdf](https://wkhtmltopdf.org/) external command
-* [Unoconv](https://github.com/unoconv/unoconv) external command
-
-Native (firefox) view:
-
-
-
-
-
-Note: the example html is from
-[here](https://www.sparksuite.com/open-source/invoice.html).
-
-I downloaded the HTML file to disk together with its resources (using
-*Save as...* in the browser).
-
-
-### Pandoc
-
-
-
-
-
-
-
-
-
-Not showing the version using `context` pdf-engine, since it looked
-very similiar to the latex variant.
-
-
-### wkhtmltopdf
-
-
-
-
-
-
-### Unoconv
-
-
-
-
-
-
-
-## Decision Outcome
-
-wkhtmltopdf.
-
-It shows the best results.
diff --git a/modules/microsite/docs/dev/adr/0008_convert_plain_text.md b/modules/microsite/docs/dev/adr/0008_convert_plain_text.md
deleted file mode 100644
index 2545712c..00000000
--- a/modules/microsite/docs/dev/adr/0008_convert_plain_text.md
+++ /dev/null
@@ -1,192 +0,0 @@
----
-layout: docs
-title: Convert Text Files
-permalink: dev/adr/0008_convert_plain_text
----
-
-# {{ page.title }}
-
-## Context and Problem Statement
-
-How can plain text and markdown documents be converted into a PDF
-files?
-
-Rendering images is not important here, since the files must be self
-contained when uploaded to Docspell.
-
-The test file is the current documentation page of Docspell, found in
-`microsite/docs/doc.md`.
-
-```
----
-layout: docs
-position: 4
-title: Documentation
----
-
-# {page .title}
-
-
-Docspell assists in organizing large amounts of PDF files that are
-...
-
-## How it works
-
-Documents have two ...
-
-1. You maintain a kind of address book. It should list all possible
- correspondents and the concerning people/things. This grows
- incrementally with each new unknown document.
-2. When docspell analyzes a document, it tries to find matches within
- your address ...
-3. You can inspect ...
-
-The set of meta data that docspell uses to draw suggestions from, must
-be maintained ...
-
-
-## Terms
-
-In order to better understand these pages, some terms should be
-explained first.
-
-### Item
-
-An **Item** is roughly your (pdf) document, only that an item may span
-multiple files, which are called **attachments**. And an item has
-**meta data** associated:
-
-- a **correspondent**: the other side of the communication. It can be
- an organization or a person.
-- a **concerning person** or **equipment**: a person or thing that
- this item is about. Maybe it is an insurance contract about your
- car.
-- ...
-
-### Collective
-
-The users of the application are part of a **collective**. A
-**collective** is a group of users that share access to the same
-items. The account name is therefore comprised of a *collective name*
-and a *user name*.
-
-All users of a collective are equal; they have same permissions to
-access all...
-```
-
-Then a plain text file is tried, too (without any markup).
-
-```
-Maecenas mauris lectus, lobortis et purus mattis
-
-Duis vehicula mi vel mi pretium
-
-In non mauris justo. Duis vehicula mi vel mi pretium, a viverra erat efficitur. Cras aliquam est ac eros varius, id iaculis dui auctor. Duis pretium neque ligula, et pulvinar mi placerat et. Nulla nec nunc sit amet nunc posuere vestibulum. Ut id neque eget tortor mattis tristique. Donec ante est, blandit sit amet tristique vel, lacinia pulvinar arcu.
-
-Pellentesque scelerisque fermentum erat, id posuere justo pulvinar ut.
-Cras id eros sed enim aliquam lobortis. Sed lobortis nisl ut eros
-efficitur tincidunt. Cras justo mi, porttitor quis mattis vel,
-ultricies ut purus. Ut facilisis et lacus eu cursus.
-
-In eleifend velit vitae libero sollicitudin euismod:
-
-- Fusce vitae vestibulum velit,
-- Pellentesque vulputate lectus quis pellentesque commodo
-
-the end.
-```
-
-
-## Considered Options
-
-* [flexmark](https://github.com/vsch/flexmark-java) for markdown to
- HTML, then use existing machinery described in [adr
- 7](./0007_convert_html_files)
-* [pandoc](https://pandoc.org/) external command
-
-
-### flexmark markdown library for java
-
-Process files with [flexmark](https://github.com/vsch/flexmark-java)
-and then create a PDF from the resulting html.
-
-Using the following snippet:
-
-``` scala
-def renderMarkdown(): ExitCode = {
- val opts = new MutableDataSet()
- opts.set(Parser.EXTENSIONS.asInstanceOf[DataKey[util.Collection[_]]],
- util.Arrays.asList(TablesExtension.create(),
- StrikethroughExtension.create()));
-
- val parser = Parser.builder(opts).build()
- val renderer = HtmlRenderer.builder(opts).build()
- val reader = Files.newBufferedReader(Paths.get("in.txt|md"))
- val doc = parser.parseReader(reader)
- val html = renderer.render(doc)
- val body = "" + html + ""
- Files.write(
- Paths.get("test.html"),
- body.getBytes(StandardCharsets.UTF_8))
-
- ExitCode.Success
- }
-```
-
-Then run the result through `wkhtmltopdf`.
-
-Markdown file:
-
-
-
-## Decision Outcome
-
-Java library "flexmark".
-
-I think all results are great. It depends on the type of document and
-what one expects to see. I guess that most people expect something
-like pandoc-html produces for the kind of files docspell is for (it is
-not for newspaper articles, where pandoc-latex would be best fit).
-
-But choosing pandoc means yet another external command to depend on.
-And the results from flexmark are really good, too. One can fiddle
-with options and css to make it look better.
-
-To not introduce another external command, decision is to use flexmark
-and then the already existing html->pdf conversion.
diff --git a/modules/microsite/docs/dev/adr/0009_convert_office_docs.md b/modules/microsite/docs/dev/adr/0009_convert_office_docs.md
deleted file mode 100644
index 9d5d6d0c..00000000
--- a/modules/microsite/docs/dev/adr/0009_convert_office_docs.md
+++ /dev/null
@@ -1,232 +0,0 @@
----
-layout: docs
-title: Convert Office Documents
-permalink: dev/adr/0009_convert_office_docs
----
-
-# {{ page.title }}
-
-## Context and Problem Statement
-
-How can office documents, like `docx` or `odt` be converted into a PDF
-file that looks as much as possible like the original?
-
-It would be nice to have a java-only solution. But if an external tool
-has a better outcome, then an external tool is fine, too.
-
-Since Docspell is free software, the tools must also be free.
-
-## Considered Options
-
-* [Apache POI](https://poi.apache.org) together with
- [this](https://search.maven.org/artifact/fr.opensagres.xdocreport/org.apache.poi.xwpf.converter.pdf/1.0.6/jar)
- library
-* [pandoc](https://pandoc.org/) external command
-* [abiword]() external command
-* [Unoconv](https://github.com/unoconv/unoconv) external command
-
-To choose an option, some documents are converted to pdf and compared.
-Only the formats `docx` and `odt` are considered here. These are the
-most used formats. They have to look well, if a `xlsx` or `pptx`
-doesn't look so great, that is ok.
-
-Here is the native view to compare with:
-
-ODT:
-
-
-
-
-
-### `XWPFConverter`
-
-I couldn't get any example to work. There were exceptions:
-
-```
-java.lang.IllegalArgumentException: Value for parameter 'id' was out of bounds
- at org.apache.poi.util.IdentifierManager.reserve(IdentifierManager.java:80)
- at org.apache.poi.xwpf.usermodel.XWPFRun.(XWPFRun.java:101)
- at org.apache.poi.xwpf.usermodel.XWPFRun.(XWPFRun.java:146)
- at org.apache.poi.xwpf.usermodel.XWPFParagraph.buildRunsInOrderFromXml(XWPFParagraph.java:135)
- at org.apache.poi.xwpf.usermodel.XWPFParagraph.(XWPFParagraph.java:88)
- at org.apache.poi.xwpf.usermodel.XWPFDocument.onDocumentRead(XWPFDocument.java:147)
- at org.apache.poi.POIXMLDocument.load(POIXMLDocument.java:159)
- at org.apache.poi.xwpf.usermodel.XWPFDocument.(XWPFDocument.java:124)
- at docspell.convert.Testing$.withPoi(Testing.scala:17)
- at docspell.convert.Testing$.$anonfun$run$1(Testing.scala:12)
- at cats.effect.internals.IORunLoop$.cats$effect$internals$IORunLoop$$loop(IORunLoop.scala:87)
- at cats.effect.internals.IORunLoop$RestartCallback.signal(IORunLoop.scala:355)
- at cats.effect.internals.IORunLoop$RestartCallback.apply(IORunLoop.scala:376)
- at cats.effect.internals.IORunLoop$RestartCallback.apply(IORunLoop.scala:316)
- at cats.effect.internals.IOShift$Tick.run(IOShift.scala:36)
- at cats.effect.internals.PoolUtils$$anon$2$$anon$3.run(PoolUtils.scala:51)
- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
- at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
- at java.lang.Thread.run(Thread.java:748)
-```
-
-The project (not Apache Poi, the other) seems unmaintained. I could
-not find any website and the artifact in maven central is from 2016.
-
-
-### Pandoc
-
-I know pandoc as a very great tool when converting between markup
-documents. So this tries it with office documents. It supports `docx`
-and `odt` from there `--list-input-formats`.
-
-From the pandoc manual:
-
-> By default, pandoc will use LaTeX to create the PDF, which requires
-> that a LaTeX engine be installed (see --pdf-engine below).
-> Alternatively, pandoc can use ConTeXt, roff ms, or HTML as an
-> intermediate format. To do this, specify an output file with a .pdf
-> extension, as before, but add the --pdf-engine option or -t context,
-> -t html, or -t ms to the command line. The tool used to generate the
-> PDF from the intermediate format may be specified using --pdf-engine.
-
-Trying with latex engine:
-
-```
-pandoc -f odt -o test.pdf example.odt
-```
-
-Results ODT:
-
-
-
-
-Trying with a `docx` file failed. It worked with a `doc` file.
-
-
-### Unoconv
-
-Unoconv relies on libreoffice/openoffice, so installing it will result
-in installing parts of libreoffice, which is a very large dependency.
-
-Trying with:
-
-```
-unoconv -f pdf example.odt
-```
-
-Results ODT:
-
-
-
-
-
-Results DOCX:
-
-
-
-
-
-## Decision Outcome
-
-Unoconv.
-
-The results from `unoconv` are really good.
-
-Abiword also is not that bad, it didn't convert the chart, but all
-font markup is there. It would be great to not depend on something as
-big as libreoffice, but the results are so much better.
-
-Also pandoc deals very well with DOCX files (using the `context`
-engine). The only thing that was not rendered was the embedded chart
-(like abiword). But all images and font styling was present.
-
-It will be a configurable external command anyways, so users can
-exchange it at any time with a different one.
diff --git a/modules/microsite/docs/dev/adr/0010_convert_image_files.md b/modules/microsite/docs/dev/adr/0010_convert_image_files.md
deleted file mode 100644
index b59c04d0..00000000
--- a/modules/microsite/docs/dev/adr/0010_convert_image_files.md
+++ /dev/null
@@ -1,193 +0,0 @@
----
-layout: docs
-title: Convert Image Files
-permalink: dev/adr/0010_convert_image_files
----
-
-# {{ page.title }}
-
-## Context and Problem Statement
-
-How to convert image files properly to pdf?
-
-Since there are thousands of different image formats, there will never
-be support for all. The most common containers should be supported,
-though:
-
-- jpeg (jfif, exif)
-- png
-- tiff (baseline, single page)
-
-The focus is on document images, maybe from digital cameras or
-scanners.
-
-## Considered Options
-
-* [pdfbox]() library
-* [imagemagick](https://www.imagemagick.org/) external command
-* [img2pdf](https://github.com/josch/img2pdf) external command
-* [tesseract](https://github.com/tesseract-ocr/tesseract) external command
-
-There are no screenshots here, because it doesn't make sense since
-they all look the same on the screen. Instead we look at the files
-properties.
-
-**Input File**
-
-The input files are:
-
-```
-$ identify input/*
-input/jfif.jpg JPEG 2480x3514 2480x3514+0+0 8-bit sRGB 240229B 0.000u 0:00.000
-input/letter-en.jpg JPEG 1695x2378 1695x2378+0+0 8-bit Gray 256c 467341B 0.000u 0:00.000
-input/letter-en.png PNG 1695x2378 1695x2378+0+0 8-bit Gray 256c 191571B 0.000u 0:00.000
-input/letter-en.tiff TIFF 1695x2378 1695x2378+0+0 8-bit Grayscale Gray 4030880B 0.000u 0:00.000
-```
-
-Size:
-- jfif.jpg 240k
-- letter-en.jpg 467k
-- letter-en.png 191k
-- letter-en.tiff 4.0M
-
-### pdfbox
-
-Using a java library is preferred, if the quality is good enough.
-There is an
-[example](https://github.com/apache/pdfbox/blob/2cea31cc63623fd6ece149c60d5f0cc05a696ea7/examples/src/main/java/org/apache/pdfbox/examples/pdmodel/ImageToPDF.java)
-for this exact use case.
-
-This is the sample code:
-
-``` scala
-def imgtopdf(file: String): ExitCode = {
- val jpg = Paths.get(file).toAbsolutePath
- if (!Files.exists(jpg)) {
- sys.error(s"file doesn't exist: $jpg")
- }
- val pd = new PDDocument()
- val page = new PDPage(PDRectangle.A4)
- pd.addPage(page)
- val bimg = ImageIO.read(jpg.toFile)
-
- val img = LosslessFactory.createFromImage(pd, bimg)
-
- val stream = new PDPageContentStream(pd, page)
- stream.drawImage(img, 0, 0, PDRectangle.A4.getWidth, PDRectangle.A4.getHeight)
- stream.close()
-
- pd.save("test.pdf")
- pd.close()
-
- ExitCode.Success
-}
-```
-
-Using pdfbox 2.0.18 and twelvemonkeys 3.5. Running time: `1384ms`
-
-```
-$ identify *.pdf
-jfif.jpg.pdf PDF 595x842 595x842+0+0 16-bit sRGB 129660B 0.000u 0:00.000
-letter-en.jpg.pdf PDF 595x842 595x842+0+0 16-bit sRGB 49118B 0.000u 0:00.000
-letter-en.png.pdf PDF 595x842 595x842+0+0 16-bit sRGB 49118B 0.000u 0:00.000
-letter-en.tiff.pdf PDF 595x842 595x842+0+0 16-bit sRGB 49118B 0.000u 0:00.000
-```
-
-Size:
-- jfif.jpg 1.1M
-- letter-en.jpg 142k
-- letter-en.png 142k
-- letter-en.tiff 142k
-
-### img2pdf
-
-This is a python tool that adds the image into the pdf without
-reencoding.
-
-Using version 0.3.1. Running time: `323ms`.
-
-```
-$ identify *.pdf
-jfif.jpg.pdf PDF 595x842 595x842+0+0 16-bit sRGB 129708B 0.000u 0:00.000
-letter-en.jpg.pdf PDF 595x842 595x842+0+0 16-bit sRGB 49864B 0.000u 0:00.000
-letter-en.png.pdf PDF 595x842 595x842+0+0 16-bit sRGB 49864B 0.000u 0:00.000
-letter-en.tiff.pdf PDF 595x842 595x842+0+0 16-bit sRGB 49864B 0.000u 0:00.000
-```
-
-Size:
-- jfif.jpg 241k
-- letter-en.jpg 468k
-- letter-en.png 191k
-- letter-en.tiff 192k
-
-### ImageMagick
-
-The well known imagemagick tool can convert images to pdfs, too.
-
-Using version 6.9.10-71. Running time: `881ms`.
-
-```
-$ identify *.pdf
-jfif.jpg.pdf PDF 595x843 595x843+0+0 16-bit sRGB 134873B 0.000u 0:00.000
-letter-en.jpg.pdf PDF 1695x2378 1695x2378+0+0 16-bit sRGB 360100B 0.000u 0:00.000
-letter-en.png.pdf PDF 1695x2378 1695x2378+0+0 16-bit sRGB 322418B 0.000u 0:00.000
-letter-en.tiff.pdf PDF 1695x2378 1695x2378+0+0 16-bit sRGB 322418B 0.000u 0:00.000
-```
-
-Size:
-- jfif.jpg 300k
-- letter-en.jpg 390k
-- letter-en.png 180k
-- letter-en.tiff 5.1M
-
-
-### Tesseract
-
-Docspell already relies on tesseract for doing OCR. And in contrast to
-all other candidates, it can create PDFs that are searchable. Of
-course, this yields in much longer running time, that cannot be
-compared to the times of the other options.
-
-```
-tesseract doc3.jpg out -l deu pdf
-```
-
-It can also create both outputs in one go:
-
-```
-tesseract doc3.jpg out -l deu pdf txt
-```
-
-Using tesseract 4. Running time: `6661ms`
-
-```
-$ identify *.pdf
-tesseract/jfif.jpg.pdf PDF 595x843 595x843+0+0 16-bit sRGB 130535B 0.000u 0:00.000
-tesseract/letter-en.jpg.pdf PDF 1743x2446 1743x2446+0+0 16-bit sRGB 328716B 0.000u 0:00.000
-tesseract/letter-en.png.pdf PDF 1743x2446 1743x2446+0+0 16-bit sRGB 328716B 0.000u 0:00.000
-tesseract/letter-en.tiff.pdf PDF 1743x2446 1743x2446+0+0 16-bit sRGB 328716B 0.000u 0:00.000
-```
-
-Size:
-- jfif.jpg 246k
-- letter-en.jpg 473k
-- letter-en.png 183k
-- letter-en.tiff 183k
-
-
-## Decision
-
-Tesseract.
-
-To not use more external tools, imagemagick and img2pdf are not
-chosen, even though img2pdf shows the best results and is fastest.
-
-Pdfbox library would be the favorite, because results are good and
-with the [twelvemonkeys](https://github.com/haraldk/TwelveMonkeys)
-library there is support for many images. The priority is to avoid
-more external commands if possible.
-
-But since there already is a dependency to tesseract and it can create
-searchable pdfs, the decision is to use tesseract for this. Then PDFs
-with images can be converted to searchable PDFs with images. And text
-extraction is required anyways.
diff --git a/modules/microsite/docs/dev/adr/0011_extract_text.md b/modules/microsite/docs/dev/adr/0011_extract_text.md
deleted file mode 100644
index 54fd6348..00000000
--- a/modules/microsite/docs/dev/adr/0011_extract_text.md
+++ /dev/null
@@ -1,78 +0,0 @@
----
-layout: docs
-title: Extract Text from Files
-permalink: dev/adr/0011_extract_text
----
-
-# Extract Text from Files
-
-## Context and Problem Statement
-
-With support for more file types there must be a way to extract text
-from all of them. It is better to extract text from the source files,
-in contrast to extracting the text from the converted pdf file.
-
-There are multiple options and multiple file types. Again, most
-priority is to use a java/scala library to reduce external
-dependencies.
-
-## Considered Options
-
-### MS Office Documents
-
-There is only one library I know: [Apache
-POI](https://poi.apache.org/). It supports `doc(x)` and `xls(x)`.
-However, it doesn't support open-document format (odt and ods).
-
-### OpenDocument Format
-
-There are two libraries:
-
-- [Apache Tika Parser](https://tika.apache.org/)
-- [ODFToolkit](https://github.com/tdf/odftoolkit)
-
-*Tika:* The tika-parsers package contains an opendocument parser for
-extracting text. But it has a huge dependency tree, since it is a
-super-package containing a parser for almost every common file type.
-
-*ODF Toolkit:* This depends on [Apache Jena](https://jena.apache.org)
-and also pulls in quite some dependencies (while not as much as
-tika-parser). It is not too bad, since it is a library for
-manipulating opendocument files. But all I need is to only extract
-text. I created tests that extracted text from my odt/ods files. It
-worked at first sight, but running the tests in a loop resulted in
-strange nullpointer exceptions (it only worked the first run).
-
-### Richtext
-
-Richtext is supported by the jdk (using `RichtextEditorKit` from
-swing).
-
-### PDF
-
-For "image" pdf files, tesseract is used. For "text" PDF files, the
-library [Apache PDFBox](https://pdfbox.apache.org) can be used.
-
-There also is [iText](https://github.com/itext/itext7) with a AGPL
-license.
-
-### Images
-
-For images and "image" PDF files, there is already tesseract in place.
-
-### HTML
-
-HTML must be converted into a PDF file before text can be extracted.
-
-### Text/Markdown
-
-These files can be used as-is, obviously.
-
-
-## Decision Outcome
-
-- MS Office files: POI library
-- Open Document files: Tika, but integrating the few source files that
- make up the open document parser. Due to its huge dependency tree,
- the library is not added.
-- PDF: Apache PDFBox. I know this library better than itext.
diff --git a/modules/microsite/docs/dev/adr/0012_periodic_tasks.md b/modules/microsite/docs/dev/adr/0012_periodic_tasks.md
deleted file mode 100644
index 44fc8ef1..00000000
--- a/modules/microsite/docs/dev/adr/0012_periodic_tasks.md
+++ /dev/null
@@ -1,106 +0,0 @@
----
-layout: docs
-title: Periodic Tasks
-permalink: dev/adr/0012_periodic_tasks
----
-
-# Periodic Tasks
-
-## Context and Problem Statement
-
-Currently there is a `Scheduler` that consumes tasks off a queue in
-the database. This allows multiple job executors running in parallel
-racing for the next job to execute. This is for executing tasks
-immediately – as long as there are enough resource.
-
-What is missing, is a component that maintains periodic tasks. The
-reason for this is to have house keeping tasks that run regularily and
-clean up stale or unused data. Later, users should be able to create
-periodic tasks, for example to read e-mails from an inbox or to be
-notified of due items.
-
-The problem is again, that it must work with multiple job executor
-instances running at the same time. This is the same pattern as with
-the `Scheduler`: it must be ensured that only one task is used at a
-time. Multiple job exectuors must not schedule a perdiodic task more
-than once. If a periodic tasks takes longer than the time between
-runs, it must wait for the next interval.
-
-
-## Considered Options
-
-1. Adding a `timer` and `nextrun` field to the current `job` table
-2. Creating a separate table for periodic tasks
-
-## Decision Outcome
-
-The 2. option.
-
-For internal housekeeping tasks, it may suffice to reuse the existing
-`job` queue by adding more fields such that a job may be considered
-periodic. But this conflates with what the `Scheduler` is doing now
-(executing tasks as soon as possible while being bound to some
-resource limits) with a completely different subject.
-
-There will be a new `PeriodicScheduler` that works on a new table in
-the database that is representing periodic tasks. This table will
-share fields with the `job` table to be able to create `RJob` records.
-This new component is only taking care of periodically submitting jobs
-to the job queue such that the `Scheduler` will eventually pick it up
-and run it. If the tasks cannot run (for example due to resource
-limitation), the periodic scheduler can't do nothing but wait and try
-next time.
-
-```sql
-CREATE TABLE "periodic_task" (
- "id" varchar(254) not null primary key,
- "enabled" boolean not null,
- "task" varchar(254) not null,
- "group_" varchar(254) not null,
- "args" text not null,
- "subject" varchar(254) not null,
- "submitter" varchar(254) not null,
- "priority" int not null,
- "worker" varchar(254),
- "marked" timestamp,
- "timer" varchar(254) not null,
- "nextrun" timestamp not null,
- "created" timestamp not null
-);
-```
-
-Preparing for other features, at some point periodic tasks will be
-created by users. It should be possible to disable/enable them. The
-next 6 properties are needed to insert jobs into the `job` table. The
-`worker` field (and `marked`) are used to mark a periodic job as
-"being worked on by a job executor".
-
-The `timer` is the schedule, which is a
-[systemd-like](https://man.cx/systemd.time#heading7) calendar event
-string. This is parsed by [this
-library](https://github.com/eikek/calev). The `nextrun` field will
-store the timestamp of the next time the task would need to be
-executed. This is needed to query this table for the newest task.
-
-The `PeriodicScheduler` works roughly like this:
-
-On startup:
-- Remove stale worker values. If the process has been killed, there
- may be marked tasks which must be cleared now.
-
-Main-Loop:
-0. Cancel current scheduled notify (see 4. below)
-1. get next (= earliest & enabled) periodic job
-2. if none: stop
-3. if triggered (= `nextrun <= 'now'`):
- - Mark periodic task. On fail: goto 1.
- - Submit new job into the jobqueue:
- - Update `nextrun` field
- - Check for non-final jobs of that name. This is required to not
- run the same periodic task multiple times concurrently.
- - if exist: goto 4.
- - if not exist: submit job
- - Unmark periodic task
-4. if future
- - schedule notify: notify self to run again next time the task
- schedule triggers
diff --git a/modules/microsite/docs/dev/adr/0013_archive_files.md b/modules/microsite/docs/dev/adr/0013_archive_files.md
deleted file mode 100644
index b653c353..00000000
--- a/modules/microsite/docs/dev/adr/0013_archive_files.md
+++ /dev/null
@@ -1,45 +0,0 @@
----
-layout: docs
-title: Archive Files
-permalink: dev/adr/0013_archive_files
----
-
-# {{ page.title }}
-
-
-## Context and Problem Statement
-
-Docspell should have support for files that contain the actual files
-that matter, like zip files and other such things. It should extract
-its contents automatcially.
-
-Since docspell should never drop or modify user data, the archive file
-must be present in the database. And it must be possible to download
-the file unmodified.
-
-On the other hand, files in there need to be text analysed and
-converted to pdf files.
-
-## Decision Outcome
-
-There is currently a table `attachment_source` which holds references
-to "original" files. These are the files as uploaded by the user,
-before converted to pdf. Archive files add a subtlety to this: in case
-of an archive, an `attachment_source` is the original (non-archive)
-file inside an archive.
-
-The archive file itself will be stored in a separate table `attachment_archive`.
-
-Example: uploading a `files.zip` ZIP file containing `report.jpg`:
-
-- `attachment_source`: report.jpg
-- `attachment`: report.pdf
-- `attachment_archive`: files.zip
-
-Archive may contain other archives. Then the inner archives will not
-be saved. The archive file is extracted recursively, until there is no
-known archive file found.
-
-## Initial Support
-
-Initial support is implemented for ZIP and EML (e-mail files) files.
diff --git a/modules/microsite/docs/dev/adr/0014_fulltext_search_engine.md b/modules/microsite/docs/dev/adr/0014_fulltext_search_engine.md
deleted file mode 100644
index ed6d8948..00000000
--- a/modules/microsite/docs/dev/adr/0014_fulltext_search_engine.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-layout: docs
-title: Fulltext Search Engine
-permalink: dev/adr/0014_fulltext_search_engine
----
-
-# {{ page.title }}
-
-It should be possible to search the contents of all documents.
-
-## Context and Problem Statement
-
-To allow searching the documents contents efficiently, a separate
-index is necessary. The "defacto standard" for fulltext search on the
-JVM is something backed by [Lucene](https://lucene.apache.org).
-Another option is to use a RDBMS that supports fulltext search.
-
-This adds another component to the mix, which increases the complexity
-of the setup and the software. Since docspell works great without this
-feature, it shouldn't have a huge impact on the application, i.e. if
-the fulltext search component is down or broken, docspell should still
-work (just the fulltext search is then not working).
-
-## Considered Options
-
-* [Apache SOLR](https://lucene.apache.org/solr)
-* [ElasticSearch](https://www.elastic.co/elasticsearch/)
-* [PostgreSQL](https://www.postgresql.org/docs/12/textsearch.html)
-* All of them or a subset
-
-## Decision Outcome
-
-If docspell is running on PostgreSQL, it would be nice to also use it
-for fulltext search to save the cost of running another component. But
-I don't want to lock the database to PostgreSQL *only* because of the
-fulltext search feature.
-
-ElasticSearch and Apache SOLR are quite similiar in features. SOLR is
-part of Lucene and therefore lives in the Apache ecosystem. I would
-choose SOLR over ElasticSearch, because I used it before.
-
-The last option (supporting all) is interesting, since it would enable
-to use PostgreSQL for fulltext search for those that use PostgreSQL as
-the database for docspell.
-
-In a first step, identify what docspell needs from a fulltext search
-component and create this interface and an implementation for Apache
-SOLR. This enables all users to use the fulltext search feature. As a
-later step, an implementation based on PostgreSQL and/or ElasticSearch
-could be provided, too.
diff --git a/modules/microsite/docs/dev/adr/0015_convert_pdf_files.md b/modules/microsite/docs/dev/adr/0015_convert_pdf_files.md
deleted file mode 100644
index b2f3ec02..00000000
--- a/modules/microsite/docs/dev/adr/0015_convert_pdf_files.md
+++ /dev/null
@@ -1,67 +0,0 @@
----
-layout: docs
-title: Convert PDF Files
-permalink: dev/adr/0015_convert_pdf_files
----
-
-# {{ page.title }}
-
-## Context and Problem Statement
-
-Some PDFs contain only images (when coming from a scanner) and
-therefore one is not able to click into the pdf and select text for
-copy&paste. Also it is not searchable in a PDF viewer. These are
-really shortcomings that can be fixed, especially when there is
-already OCR build in.
-
-For images, this works already as tesseract is used to create the PDF
-files. Tesseract creates the files with an additional text layer
-containing the OCRed text.
-
-## Considered Options
-
-* [ocrmypdf](https://github.com/jbarlow83/OCRmyPDF) OCRmyPDF adds an
- OCR text layer to scanned PDF files, allowing them to be searched
-
-
-### ocrmypdf
-
-This is a very nice python tool, that uses tesseract to do OCR on each
-page and add the extracted text as a pdf text layer to the page.
-Additionally it creates PDF/A type pdfs, which are great for
-archiving. This fixes exactly the things stated above.
-
-#### Integration
-
-Docspell already has this built in for images. When converting images
-to a PDF (which is done early in processing), the process creates a
-text and a PDF file. Docspell then sets the text in this step and the
-text extraction step skips doing its work, if there is already text
-available.
-
-It would be possible to use the `--sidecar` option with ocrmypdf to
-create a text file of the extracted text with one run, too (exactly
-like it works for tesseract). But for "text" pdfs, ocrmypdf writes
-some info-message into this text file:
-
-```
-[OCR skipped on page 1] [OCR skipped on page 2]
-```
-
-Docspell cannot reliably tell, wether this is extracted text or not.
-It would be reqiured to load the pdf and check its contents. This is a
-bit of bad luck, because everything would just work already. So it
-requires a (small) change in the text-extraction step. By default,
-text extraction happens on the source file. For PDFs, text extraction
-should now be run on the converted file, to avoid running OCR twice.
-
-The converted pdf file is either be a text-pdf in the first place,
-where ocrmypdf would only convert it to a PDF/A file; or it may be a
-converted file containing the OCR-ed text as a pdf layer. If ocrmypdf
-is disabled, the converted file and the source file are the same for
-PDFs.
-
-## Decision Outcome
-
-Add ocrmypdf as an optional conversion from PDF to PDF. Ocrmypdf is
-distributed under the GPL-3 license.
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diff --git a/modules/microsite/docs/dev/adr/process-files.puml b/modules/microsite/docs/dev/adr/process-files.puml
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-@startuml
-scale 1200 width
-title: Processing Files
-skinparam monochrome true
-skinparam backgroundColor white
-skinparam rectangle {
- roundCorner<> 25
- roundCorner<
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