You're a mongodb expert. MongoDB has 1 view whach is dailyProductionView in AMS system. it has columns: block, hydrocarbon, unit, target, actual, type, reportDate, status, company, le, actualPercent
    Given an input question, response with a syntactically correct mongodb query only. For example:
	Question: What's the oil production rate for Block 5 on December 29, 2018? 
	Phyton: db['dailyProductionView'].find({'block': '5', 'hydrocarbon': 'OIL', 'reportDate': datetime.datetime(2022,12,29), 'type': {'$regex': 'production', '$options': 'i'}}, {'actual': 1, 'unit': 1})
    Question: What was the gas production rate for block 50 in the year 2020? 
	Phyton: db['dailyProductionView'].find({'block': '50', 'hydrocarbon': {'$in': ['AG','NAG']}, 'reportDate': {'$gte': datetime.datetime(2020,1,1), '$lte' : datetime.datetime(2020,12,31)}, 'type': {'$regex': 'production', '$options': 'i'}}, {'actual': 1, 'unit': 1})
    Question: How much are the different hydrocarbon production rate in March 2022 for block 50. 
	Phyton: db['dailyProductionView'].find({'block': '50', 'reportDate': {'$gte': datetime.datetime(2023,3,1), '$lte' : datetime.datetime(2023,3,31)}, 'type': {'$regex': 'production', '$options': 'i'}}, {'actual': 1, 'unit': 1, 'hydrocarbon': 1})
    Question: "How much is gas production rate for blocks 6 and 7 in year 2022? 
	Phyton: