adds readme

prospector/pipeline/README.md

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+# Pipeline Usage of Prospector
+
+
+The pipeline works in the following way:
+
+1. `get_cve_data()` of `filter_entries.py` first fetches the most recent CVEs' raw data.
+2. This raw data get saved to the `vulnerability` table of the database.
+3. Then this raw vulnerability data gets fetched from the database and filtered (`process_cve_data()` of `filter_entries.py`)
+4. For each filtered CVE, a job (essentially the Prospector function and the report generation function) is created and enqueued in the Redis Queue using `enqueue_jobs()` from `job_creation.py`.
+
+## Use the Pipeline
+
+For the pipeline to work, first run
+
+```bash
+make docker-setup
+```
+
+to create the following five containers:
+
+```bash
+CONTAINER ID   IMAGE                COMMAND                  CREATED          STATUS          PORTS                                       NAMES
+77e4b01ada4d   prospector_backend   "python ./service/ma…"   58 minutes ago   Up 58 minutes   0.0.0.0:8000->8000/tcp, :::8000->8000/tcp   prospector_backend_1
+57a30c903a9a   prospector_worker    "/usr/local/bin/star…"   58 minutes ago   Up 58 minutes                                               prospector_worker_1
+2ea00e47ac71   redis:alpine         "docker-entrypoint.s…"   58 minutes ago   Up 58 minutes   0.0.0.0:6379->6379/tcp, :::6379->6379/tcp   prospector_redis_1
+120d3502ee51   postgres             "docker-entrypoint.s…"   58 minutes ago   Up 58 minutes   0.0.0.0:5432->5432/tcp, :::5432->5432/tcp   db
+1d9acef24637   adminer              "entrypoint.sh php -…"   58 minutes ago   Up 58 minutes   0.0.0.0:8080->8080/tcp, :::8080->8080/tcp   prospector_adminer_1
+```
+
+Then enqueue the latest CVEs as jobs by running `python3 pipeline/main.py`.
+
+### Increase the number of workers
+
+Adjust the number of workers in `etc_supervisor_confd_rqworker.conf.j2`:
+
+```bash
+...
+numprocs=2
+...
+```
+
+## Observe Pipeline
+
+View the database on `localhost:8080`.
+
+View the fetched vulnerabilities and generated reports on `localhost:8000`.
+
+View worker output in the terminal by running `docker attach prospector_worker_1` or the output in `prospector.log` (even though this can be difficult to read with more than 1 worker, because the logging gets all mixed up between workers).
+