Import waveform from miniSEED

[ceefour]

Can read input waveform data from miniSEED
and save to MongoDB database.

Purpose

1. Can import miniSEED files (e.g. from IRIS Wilber 3) into our database
2. Waveforms in database can be read and manipulated (including for machine learning) in easy and optimized way, especially using Python NumPy, mongoengine/pymongo, and ObsPy
3. Select waveforms can be exported back to miniSEED files
4. Channels and stations can be navigated and displayed similar to Wilber 3
5. Waveforms can be easily displayed on-screen (HTML5/React) similar to Wilber 3
6. Only authorized users can perform privileged (write) operations
7. Paves way for future mobile app functionality

Tasks

• Sample miniSEED files
• Sample additional metadata for those files
• MongoDB schema, related but not same as Database design for waveform data #9
• Spec
• Tests

Rationale

Q: Why not use S3-compatible Minio?
A: Because miniSEED files are usually small ~4 MB contains a lot of channels for around 11 minutes, with around 20 Hz sample rate. A single channel's signal can fit in a 16 MB MongoDB document including metadata.