Adding a Directory to a Chroma Collection

First, initialize the janus Chroma DB:

janus db init

You can check the status of the DB at any time:

janus db status

Then, add a directory of code to the Chroma DB:

janus db add --input janus --language python janus-collection embedding-model

To look at the collection you just created:

janus db ls

And to peek at the first entry:

janus db ls janus-collection --peek 1

Output:

Collection: janus-collection
  ID: 2b05d5c4-e459-4019-a57a-f40981d2157d
  Metadata: {'date_created': '2024-02-01', 'time_created': '22:34:29.021953'}
  Tenant: default_tenant
  Database: default_database
  Length: 70
  Peeking at first entry:
{
    'ids': ['1c804356-c195-11ee-802b-5accbc90a9b9'],
    'embeddings': [-0.04940863698720932, -0.05636196956038475, '...'],
    'metadatas': [
        {
            'cost': 0,
            'end_line': 17,
            'hash': -1018617695456695524,
            'original_filename': 'translate.py',
            'start_line': 0,
            'tokens': 163,
            'type': 'merge'
        }
    ],
    'documents': [
        'from copy import deepcopy\nfrom pathlib import Path\nfrom typing import Any, Dict, Set\n\nfrom
chromadb.api.models.Collection import Collection\nfrom langchain.callbacks import get_openai_callback\n\nfrom
.converter import Converter, run_if_changed\nfrom .language.block import CodeBlock, TranslatedCodeBlock\nfrom .llm
import MODEL_CONSTRUCTORS, MODEL_DEFAULT_ARGUMENTS, TOKEN_LIMITS\nfrom .parsers.code_parser import PARSER_TYPES,
CodeParser, EvaluationParser, JanusParser\nfrom .prompts.prompt import SAME_OUTPUT, TEXT_OUTPUT, PromptEngine\nfrom
.utils.enums import LANGUAGES\nfrom .utils.logger import create_logger\n\nlog =
create_logger(__name__)\n\nVALID_MODELS: Set[str] = set(MODEL_CONSTRUCTORS).intersection(MODEL_DEFAULT_ARGUMENTS)'
    ],
    'uris': None,
    'data': None
}