baseddata.io/backend/api/route.py

from fastapi import APIRouter
from api.postgres_handler import PostgresHandler
import api.pipelines as pipelines
import api.schemas as schemas
from api.schemas import DataSerializer
import json

router = APIRouter()

def parse_args_to_dict(query):
    try:
        return json.loads(query)
    except json.JSONDecodeError as e:
        return {"error": f"Invalid JSON: {e}"}

@router.get("/mangrove_by_country_latest")
async def mangrove_by_country_latest():
    pipeline = pipelines.mangrove_by_country_latest()
    handler = PostgresHandler()

    schema = schemas.mangrove_by_country_latest_schema
    serializer = DataSerializer(schema)
    rawData = handler.execute_query(pipeline)
    serializedData = serializer.serialize_many(rawData)
    return serializedData

@router.get("/mangrove_country_timeseries")
async def mangrove_country_timeseries(query: str):
    args = parse_args_to_dict(query)

    pipeline = pipelines.mangrove_country_timeseries(args)
    handler = PostgresHandler()

    schema = schemas.mangrove_country_timeseries_schema
    serializer = DataSerializer(schema)
    rawData = handler.execute_query(pipeline)
    serializedData = serializer.serialize_many(rawData)
    return serializedData

@router.get("/bitcoin_business_growth_timeseries")
async def bitcoin_business_growth_timeseries(query: str):
    args = parse_args_to_dict(query)

    pipeline = pipelines.bitcoin_business_growth_timeseries(args)
    handler = PostgresHandler()

    schema = schemas.bitcoin_business_growth_timeseries_schema
    serializer = DataSerializer(schema)

    rawData = handler.execute_query(pipeline)
    serializedData = serializer.serialize_many(rawData)

    return serializedData

@router.get("/bitcoin_business_growth_percent_diff")
async def bitcoin_business_growth_percent_diff(query: str):
    args = parse_args_to_dict(query)

    pipeline = pipelines.bitcoin_business_growth_percent_diff_days_ago(args)
    handler = PostgresHandler()

    schema = schemas.bitcoin_business_growth_percent_diff_schema
    serializer = DataSerializer(schema)

    rawData = handler.execute_query(pipeline)
    serializedData = serializer.serialize_many(rawData)
    return serializedData

# @router.get("/bitcoin_business_growth_percent_diff")
# async def bitcoin_business_growth_percent_diff(query: str):
#     query = ast.literal_eval(query)
#     
#     query = queries.bitcoin_business_growth_percent_diff_days_ago(query)
#     handler = PostgresHandler(connection)
#
#     schema = schemas.bitcoin_business_growth_percent_diff_schema
#     pipeline = pipelines.bitcoin_business_growth_percent_diff_days_ago(query)
#     serializer = DataSerializer(schema)
#     handler = MongoDBHandler(collection_name)
#     rawData = handler.aggregate(pipeline)
#     serializedData = serializer.serialize_many(rawData)
#     return serializedData
# @router.get("/mangrove_by_country_agg")
# async def mangrove_by_country_agg(query: str):
#     query = ast.literal_eval(query)
#     db = client.baseddata
#     collection_name = db["final__protected_mangroves_summary_stats_by_country_agg"]
#     schema = schemas.mangrove_by_country_agg_schema
#     pipeline = pipelines.mangrove_by_country_agg(query)
#     serializer = DataSerializer(schema)
#     handler = MongoDBHandler(collection_name)
#     rawData = handler.aggregate(pipeline)
#     serializedData = serializer.serialize_many(rawData)
#     return serializedData
#

# @router.get("/bitcoin_business_growth_timeseries")
# async def bitcoin_business_growth_timeseries(query: str):
#     query = ast.literal_eval(query)
#     db = client.baseddata
#     collection_name = db["final__bitcoin_business_growth_by_country"]
#     schema = schemas.bitcoin_business_growth_timeseries_schema
#     pipeline = pipelines.bitcoin_business_growth_timeseries(query)
#     serializer = DataSerializer(schema)
#     handler = MongoDBHandler(collection_name)
#     rawData = handler.aggregate(pipeline)
#     serializedData = serializer.serialize_many(rawData)
#     return serializedData