document-databases

## What I do - Design document schemas - Implement MongoDB-style operations - Optimize document queries ## When to use me When working with document databases like MongoDB, CouchDB. ## Document Operations ```python class DocumentStore: """Document database operations""" def __init__(self, connection): self.db = connection def insert_document(self, collection: str, document: dict): """Insert a document""" return self.db[collection].insert_one(document) def find_documents(self, collection: str, query: dict = None, projection: dict = None): """Query documents""" return self.db[collection].find(query or {}, projection) def update_document(self, collection: str, query: dict, update: dict): """Update documents""" return self.db[collection].update_many(query, update) def aggregate(self, collection: str, pipeline: list): """Run aggregation pipeline""" return self.db[collection].aggregate(pipeline) ``` ### Aggregation Pipeline ```python class AggregationExamples: """Aggregation pipeline examples""" @staticmethod def match_group_project(): return [ {"$match": {"status": "active"}}, {"$group": {"_id": "$category", "count": {"$sum": 1}}}, {"$project": {"category": "$_id", "count": 1, "_id": 0}} ] ```