97 lines
3.5 KiB
Python
97 lines
3.5 KiB
Python
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from fastapi import APIRouter
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from api.postgres_handler import PostgresHandler
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import api.pipelines as pipelines
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import api.schemas as schemas
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from api.schemas import DataSerializer
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import json
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router = APIRouter()
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def parse_args_to_dict(query):
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try:
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return json.loads(query)
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except json.JSONDecodeError as e:
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return {"error": f"Invalid JSON: {e}"}
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@router.get("/mangrove_by_country_latest")
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async def mangrove_by_country_latest():
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pipeline = pipelines.mangrove_by_country_latest()
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handler = PostgresHandler()
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schema = schemas.mangrove_by_country_latest_schema
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serializer = DataSerializer(schema)
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rawData = handler.execute_query(pipeline)
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serializedData = serializer.serialize_many(rawData)
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return serializedData
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@router.get("/bitcoin_business_growth_timeseries")
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async def bitcoin_business_growth_timeseries(query: str):
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args = parse_args_to_dict(query)
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pipeline = pipelines.bitcoin_business_growth_timeseries(args)
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handler = PostgresHandler()
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schema = schemas.bitcoin_business_growth_timeseries_schema
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serializer = DataSerializer(schema)
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rawData = handler.execute_query(pipeline)
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serializedData = serializer.serialize_many(rawData)
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return serializedData
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@router.get("/bitcoin_business_growth_percent_diff")
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async def bitcoin_business_growth_percent_diff(query: str):
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args = parse_args_to_dict(query)
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pipeline = pipelines.bitcoin_business_growth_percent_diff_days_ago(args)
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handler = PostgresHandler()
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schema = schemas.bitcoin_business_growth_percent_diff_schema
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serializer = DataSerializer(schema)
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rawData = handler.execute_query(pipeline)
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serializedData = serializer.serialize_many(rawData)
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return serializedData
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# @router.get("/bitcoin_business_growth_percent_diff")
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# async def bitcoin_business_growth_percent_diff(query: str):
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# query = ast.literal_eval(query)
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#
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# query = queries.bitcoin_business_growth_percent_diff_days_ago(query)
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# handler = PostgresHandler(connection)
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#
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# schema = schemas.bitcoin_business_growth_percent_diff_schema
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# pipeline = pipelines.bitcoin_business_growth_percent_diff_days_ago(query)
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# serializer = DataSerializer(schema)
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# handler = MongoDBHandler(collection_name)
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# rawData = handler.aggregate(pipeline)
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# serializedData = serializer.serialize_many(rawData)
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# return serializedData
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# @router.get("/mangrove_by_country_agg")
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# async def mangrove_by_country_agg(query: str):
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# query = ast.literal_eval(query)
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# db = client.baseddata
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# collection_name = db["final__protected_mangroves_summary_stats_by_country_agg"]
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# schema = schemas.mangrove_by_country_agg_schema
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# pipeline = pipelines.mangrove_by_country_agg(query)
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# serializer = DataSerializer(schema)
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# handler = MongoDBHandler(collection_name)
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# rawData = handler.aggregate(pipeline)
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# serializedData = serializer.serialize_many(rawData)
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# return serializedData
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#
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# @router.get("/bitcoin_business_growth_timeseries")
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# async def bitcoin_business_growth_timeseries(query: str):
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# query = ast.literal_eval(query)
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# db = client.baseddata
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# collection_name = db["final__bitcoin_business_growth_by_country"]
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# schema = schemas.bitcoin_business_growth_timeseries_schema
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# pipeline = pipelines.bitcoin_business_growth_timeseries(query)
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# serializer = DataSerializer(schema)
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# handler = MongoDBHandler(collection_name)
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# rawData = handler.aggregate(pipeline)
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# serializedData = serializer.serialize_many(rawData)
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# return serializedData
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