# Query Orchestration

## docCleanRunner

## docInitRunner

## docSyncRunner

## docTextRunner

## jobSyncRunner

## metricsExample\_test

This main.go serves as an example of how to use the custom Prometheus metrics package.

It demonstrates:

1. Setting up metrics with proper context handling

2. Configuring different types of metrics (Counter, Gauge, Histogram, Summary)

3. Recording metrics safely in a concurrent environment

4. Implementing graceful shutdown

5. Proper error handling

## queryRunner

## queryService

This API currently manages all user entities to be managed. This allows users of the service to change required entities and processes.

The entities in question:

- Client - A client is a single client of the Doczy project, all configurations and jobs for a client will be in reference to the respective client.

- Job - A job is a single instance of requirements for a client. This maintains a set of queries and processes in relation to itself.

- Collector - A collector specifies the required queries for export for a given job.

- Sample - A sample is a subset of documents to be used for testing. When it is active a job will only process documents in the sample.

- Query - A query is a block of processing of data which takes an input and produces an output.

- Export - An export is a manually started process which outputs the results for a job to a given location.

## querySyncRunner

## queryVersionSyncRunner

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