npc_lims

neuropixels cloud lab information management system Tools to fetch and update paths, metadata and state for Mindscope Neuropixels sessions, in the cloud.

quickstart

make a new Python >=3.9 virtual environment with conda or venv (lighter option, since this package does not require pandas, numpy etc.):
```
python -m venv .venv
```

activate the virtual environment:

Windows

.venv\scripts\activate

Unix

source .venv/bin/activate.sh

install the package:
```
python -m pip install npc_lims
```
setup credentials
- required environment variables:
  - AWS S3
    - AWS_DEFAULT_REGION
    - AWS_ACCESS_KEY_ID
    - AWS_SECRET_ACCESS_KEY
    - to find and read files on S3
    - must have read access on relevant aind buckets
    - can be in a standard ~/.aws location, as used by AWS CLI or boto3
  - CodeOcean API
    - CODE_OCEAN_API_TOKEN
    - CODE_OCEAN_DOMAIN
    - to find processed data in "data assets" via the Codeocean API
    - generated in CodeOcean:
      - right click on Account (bottom left, person icon)
      - click User Secrets - these are secrets than can be made available as environment variables in CodeOcean capsules
      - go to Access Tokens and click Generate new token - this is for programatically querying CodeOcean's databases
        
        in Token Name enter Codeocean API (read) and check read on capsules and datasets
        
        a token will be generated: click copy (storing it in a password manager, if you use one)
      - head back to User Secrets where we'll paste it into a new secret via Add secret > API credentials - in description enter Codeocean API (read) - in API key enter CODE_OCEAN_API_KEY - in API secret paste the copied secret from before (should start with cop_...) CODE_OCEAN_DOMAIN is the codeocean https address, up to and including .org
- environment variables can also be specified in a file named .env in the current working directory
  - example: https://www.dotenv.org/docs/security/env.html
  - be very careful that this file does not get pushed to public locations, e.g. github
    - if using git, add it to a .gitignore file in your project's root directory:
```
.env*
```

now in Python we can find sessions that are available to work with:

    >>> import npc_lims;

# get a sequence of `SessionInfo` dataclass instances, one per session:
    >>> tracked_sessions: tuple[npc_lims.SessionInfo, ...] = npc_lims.get_session_info()

# each `SessionInfo` instance has minimal metadata about its session:
    >>> tracked_sessions[0]                 # doctest: +SKIP
    npc_lims.SessionInfo(id='626791_2022-08-15', subject=626791, date='2022-08-15', idx=0, project='DRPilotSession', is_ephys=True, is_sync=True, allen_path=PosixUPath('//allen/programs/mindscope/workgroups/dynamicrouting/PilotEphys/Task 2 pilot/DRpilot_626791_20220815'))
        >>> tracked_sessions[0].is_ephys        # doctest: +SKIP
    False

# currently, we're only tracking behavior and ephys sessions that use variants of https://github.com/samgale/DynamicRoutingTask/blob/main/TaskControl.py:
    >>> all(s.date.year >= 2022 for s in tracked_sessions)
    True

"tracked sessions" are discovered via 3 routes:
- https://github.com/AllenInstitute/npc_lims/blob/main/tracked_sessions.yaml
- \\allen\programs\mindscope\workgroups\dynamicrouting\DynamicRoutingTask\DynamicRoutingTraining.xlsx
- \\allen\programs\mindscope\workgroups\dynamicrouting\DynamicRoutingTask\DynamicRoutingTrainingNSB.xlsx

Metadata

Release files for npc_lims 0.1.201

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