add more routes to backend
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0e6e19d483
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@ -1,5 +1,29 @@
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aggregate_mangrove_by_country = [
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{
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"$match": {"year": "2020"},
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},
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]
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def mangrove_by_country_latest():
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pipeline = [
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{
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"$match": {"year": "2020"},
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},
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]
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return pipeline
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def mangrove_by_country_agg(query):
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pipeline = [
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{"$match": {"country_with_parent": query["country_with_parent"]}},
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{
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"$group": {
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"_id": {"country_with_parent": "$country_with_parent", "year": "$year"},
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"total_pixels": {"$sum": "$total_n_pixels"},
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}
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},
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{
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"$project": {
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"_id": 0,
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"country_with_parent": "$_id.country_with_parent",
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"year": "$_id.year",
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"total_pixels": 1,
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}
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},
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{"$sort": {"year": 1}},
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]
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return pipeline
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@ -4,18 +4,45 @@ from models.mongodb_handler import MongoDBHandler
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import models.pipelines as pipelines
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import schema.schemas as schemas
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from schema.schemas import DataSerializer
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import ast
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router = APIRouter()
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@router.get("/mangrove_country_data")
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async def mangrove_country_data():
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@router.get("/mangrove_by_country_latest")
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async def mangrove_by_country_latest():
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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_country_schema
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query = pipelines.aggregate_mangrove_by_country
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schema = schemas.mangrove_by_country_latest_schema
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pipeline = pipelines.mangrove_by_country_latest()
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serializer = DataSerializer(schema)
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handler = MongoDBHandler(collection_name)
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rawData = handler.aggregate(query)
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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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@router.get("/bitcoin_business_growth")
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async def bitcoin_business_growth(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
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pipeline = pipelines.bitcoin_business_growth(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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@ -1,4 +1,4 @@
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def mangrove_country_schema(data):
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def mangrove_by_country_latest_schema(data):
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return {
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"country_with_parent": str(data["country_with_parent"]),
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"original_pixels": int(data["original_pixels"]),
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@ -7,6 +7,20 @@ def mangrove_country_schema(data):
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"cumulative_pct_diff": float(data["cumulative_pct_diff"]),
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}
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def mangrove_by_country_agg_schema(data):
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return {
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"country_with_parent": str(data["country_with_parent"]),
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"year": int(data["year"]),
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"total_pixels": int(data["total_pixels"])
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}
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def bitcoin_business_growth_schema(data):
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return {
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"country_name": str(data["country_name"]),
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"cumulative_current_value": str(data["cumulative_current_value"]),
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"year": int(data["year"]),
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"total_pixels": int(data["total_pixels"])
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}
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class DataSerializer:
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def __init__(self, schema_func):
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