New mongodb backend

backend/app.py

@@ -1,210 +0,0 @@
-from flask import Flask, g, jsonify, request, json, Response, send_from_directory, abort
-from flask_cors import CORS
-import orjson, os
-import pandas as pd
-
-import datetime
-import time
-
-app = Flask(__name__)
-CORS(app)
-
-FILES_DIRECTORY = "../data/"
-
-
-@app.before_request
-def start_timer():
-    g.start = time.time()
-
-
-@app.after_request
-def log(response):
-    now = time.time()
-    duration = round(now - g.start, 4)
-    dt = datetime.datetime.fromtimestamp(now).strftime("%Y-%m-%d %H:%M:%S")
-
-    log_entry = {
-        "timestamp": dt,
-        "duration": duration,
-        "method": request.method,
-        "url": request.url,
-        "status": response.status_code,
-        "remote_addr": request.access_route[-1],
-        "user_agent": request.user_agent.string,
-    }
-
-    log_line = ",".join(f"{key}={value}" for key, value in log_entry.items())
-
-    with open("api_logs.txt", "a") as f:
-        f.write(log_line + "\n")
-
-    return response
-
-
-@app.route("/bitcoin_business_growth_by_country", methods=["GET"])
-def business_growth():
-
-    today = datetime.datetime.today()
-
-    # Parse args from request
-    latest_date = request.args.get("latest_date")
-    country_names = request.args.get("countries")
-    cumulative_period_type = request.args.get("cumulative_period_type")
-
-    # Open json locally
-    with open("../data/final__bitcoin_business_growth_by_country.json", "rb") as f:
-        data = orjson.loads(f.read())
-
-    # Filter based on args
-    if latest_date:
-        latest_date_bool = latest_date == "true"
-        filtered_data = [
-            item for item in data if item["latest_date"] == latest_date_bool
-        ]
-    else:
-        filtered_data = data
-
-    if country_names:
-        countries = [name.strip() for name in country_names.split(",")]
-        filtered_data = [
-            item for item in filtered_data if item["country_name"] in countries
-        ]
-
-    if cumulative_period_type == "1 day":
-        delta = today - datetime.timedelta(days=2)
-        filtered_data = [
-            item
-            for item in filtered_data
-            if item["cumulative_period_type"] == cumulative_period_type
-            and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
-        ]
-    elif cumulative_period_type == "7 day":
-        delta = today - datetime.timedelta(days=8)
-        filtered_data = [
-            item
-            for item in filtered_data
-            if item["cumulative_period_type"] == cumulative_period_type
-            and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
-        ]
-    elif cumulative_period_type == "28 day":
-        delta = today - datetime.timedelta(days=29)
-        filtered_data = [
-            item
-            for item in filtered_data
-            if item["cumulative_period_type"] == cumulative_period_type
-            and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
-        ]
-    elif cumulative_period_type == "365 day":
-        delta = today - datetime.timedelta(days=366)
-        filtered_data = [
-            item
-            for item in filtered_data
-            if item["cumulative_period_type"] == cumulative_period_type
-            and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
-        ]
-
-    # Sort by date
-    sorted_data = sorted(filtered_data, key=lambda x: x["date"], reverse=False)
-
-    # Return json
-    return Response(json.dumps(sorted_data), mimetype="application/json")
-
-
-@app.route("/get_json/<filename>", methods=["GET"])
-def get_json(filename):
-
-    period = request.args.get("period")
-    today = datetime.datetime.today()
-
-    file_path = os.path.join(FILES_DIRECTORY, filename)
-    if not os.path.isfile(file_path):
-        abort(404)
-
-    with open(file_path, "r") as f:
-        data = orjson.loads(f.read())
-
-    if period == "last 7 days":
-        delta = today - datetime.timedelta(days=7)
-        filtered_data = [
-            item
-            for item in data
-            if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
-        ]
-        sorted_data = sorted(filtered_data, key=lambda x: x["date"])
-    elif period == "last 28 days":
-        delta = today - datetime.timedelta(days=28)
-        filtered_data = [
-            item
-            for item in data
-            if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
-        ]
-        sorted_data = sorted(filtered_data, key=lambda x: x["date"])
-    elif period == "last 365 days":
-        delta = today - datetime.timedelta(days=365)
-        filtered_data = [
-            item
-            for item in data
-            if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
-        ]
-        sorted_data = sorted(filtered_data, key=lambda x: x["date"])
-    elif period == "last 2 years":
-        delta = today - datetime.timedelta(days=730)
-        filtered_data = [
-            item
-            for item in data
-            if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
-        ]
-        sorted_data = sorted(filtered_data, key=lambda x: x["date"])
-    else:
-        sorted_data = sorted(data, key=lambda x: x["date"])
-
-    return jsonify(sorted_data)
-
-
-@app.route("/mangrove_data/<method>", methods=["GET"])
-def mangrove_data(method):
-
-    with open("../data/dev/final__wdpa_pid_mangrove_diff_stats.json", "rb") as f:
-        data = orjson.loads(f.read())
-
-    if method == "countries":
-        df = pd.read_json(json.dumps(data))
-        countries = df[["year", "country", "n_pixels", "diff", "cumulative_diff"]]
-        countriesAgg = countries.groupby(["year", "country"]).agg(
-            {"n_pixels": "sum", "diff": "sum", "cumulative_diff": "sum"}
-        )
-        countriesAgg["year0_pixels"] = (
-            countriesAgg["n_pixels"] - countriesAgg["cumulative_diff"]
-        )
-        countriesAgg["pct_diff"] = (
-            100
-            * (countriesAgg["n_pixels"] - countriesAgg["year0_pixels"])
-            / countriesAgg["year0_pixels"]
-        ).round(2)
-        countriesLatest = countriesAgg.loc[[2020]].reset_index().set_index("country")
-        return Response(
-            countriesLatest.to_json(orient="index"), mimetype="application/json"
-        )
-
-
-@app.route("/download/<filename>", methods=["GET"])
-def download_file(filename):
-    try:
-        return send_from_directory(FILES_DIRECTORY, filename, as_attachment=True)
-    except FileNotFoundError:
-        abort(404)
-
-
-@app.route("/cog", methods=["GET"])
-def serve_cog():
-    year = request.args.get("year")
-    pid = request.args.get("pid")  # change this line
-    dir = f"{FILES_DIRECTORY}/cog/{year}/"
-    try:
-        return send_from_directory(dir, f"{pid}.tif", as_attachment=True)
-    except FileNotFoundError:
-        abort(404)
-
-
-if __name__ == "__main__":
-    app.run()

backend/config/database.py

@@ -0,0 +1,5 @@
+from pymongo.mongo_client import MongoClient
+
+client = MongoClient(
+    host=["10.0.10.35:27017"], username="admin", password="1234", authSource="admin"
+)

backend/main.py

@@ -0,0 +1,15 @@
+from fastapi import FastAPI
+from pymongo.mongo_client import MongoClient
+from routes.route import router
+
+app = FastAPI()
+client = MongoClient(
+    host=["10.0.10.35:27017"], username="admin", password="1234", authSource="admin"
+)
+try:
+    client.admin.command("ping")
+    print("Successfully pinged MongoDB deployment!")
+except Exception as e:
+    print(e)
+
+app.include_router(router)

backend/models/mongodb_handler.py

@@ -0,0 +1,12 @@
+class MongoDBHandler:
+    def __init__(self, collection):
+        self.collection = collection
+
+    def find_limit(self, limit: int):
+        return self.collection.find().limit(limit)
+
+    def find_one(self, query):
+        return self.collection.find_one(query)
+
+    def aggregate(self, query):
+        return self.collection.aggregate(query)

backend/models/pipelines.py

@@ -0,0 +1,5 @@
+aggregate_mangrove_by_country = [
+    {
+        "$match": {"year": "2020"},
+    },
+]

backend/routes/route.py

@@ -0,0 +1,21 @@
+from fastapi import APIRouter
+from config.database import client
+from models.mongodb_handler import MongoDBHandler
+import models.pipelines as pipelines
+import schema.schemas as schemas
+from schema.schemas import DataSerializer
+
+router = APIRouter()
+
+
+@router.get("/mangrove_country_data")
+async def mangrove_country_data():
+    db = client.baseddata
+    collection_name = db["final__protected_mangroves_summary_stats_by_country_agg"]
+    schema = schemas.mangrove_country_schema
+    query = pipelines.aggregate_mangrove_by_country
+    serializer = DataSerializer(schema)
+    handler = MongoDBHandler(collection_name)
+    rawData = handler.aggregate(query)
+    serializedData = serializer.serialize_many(rawData)
+    return serializedData

backend/schema/schemas.py

@@ -0,0 +1,19 @@
+def mangrove_country_schema(data):
+    return {
+        "country_with_parent": str(data["country_with_parent"]),
+        "original_pixels": int(data["original_pixels"]),
+        "total_n_pixels": int(data["total_n_pixels"]),
+        "cumulative_pixels_diff": int(data["cumulative_pixels_diff"]),
+        "cumulative_pct_diff": float(data["cumulative_pct_diff"]),
+    }
+
+
+class DataSerializer:
+    def __init__(self, schema_func):
+        self.schema_func = schema_func
+
+    def serialize_one(self, data) -> dict:
+        return self.schema_func(data)
+
+    def serialize_many(self, data_list) -> list:
+        return [self.serialize_one(data) for data in data_list]

content/data-lab/protected-mangroves.md

@@ -9,5 +9,5 @@ tags: ["Bitcoin", "Stats"]
 script: "/js/mangrove-map.js"
 ---
 
-{{< table id="mangrove_countries" endpoint="mangrove_data/countries" tableKey="country" headers="{'country': 'Country', 'cumulative_diff': 'Diff', 'pct_diff': '% Diff'}" maxHeight="400px" sortable="true">}}
+{{< table id="mangrove_countries" endpoint="mangrove_country_data" headers="{'country_with_parent': 'Country', 'original_pixels': '1996 Cover', 'total_n_pixels': '2020 Cover', 'cumulative_pixels_diff': 'Diff', 'cumulative_pct_diff': '% Diff'}" maxHeight="400px" sortable="true">}}
 {{< map id="map" style="https://tiles.semitamaps.com/styles/maptiler-basic/style.json">}}

hugo.toml

@@ -3,7 +3,7 @@ languageCode = 'en-gb'
 title = 'Based Data'
 
 [params]
-    apiURL = 'http://localhost:5000'
+    apiURL = 'http://localhost:8000'
 
 [markup.highlight]
     pygmentsUseClasses = false

layouts/shortcodes/table.html

@@ -42,11 +42,7 @@
         const td = document.createElement("td");
         const div = document.createElement("div");
         div.id = "scrollable";
-        if (columnName == "{{ .Get `tableKey` }}") {
+        div.textContent = data[key][columnName];
-          div.textContent = key;
-        } else {
-          div.textContent = data[key][columnName];
-        };
         td.appendChild(div);
         row.appendChild(td);
         tbody.appendChild(row);

shell.nix

@@ -1,5 +1,4 @@
-{ pkgs ? import <nixpkgs> { } }:
+{pkgs ? import <nixpkgs> {}}:
-
 pkgs.mkShell
 {
   nativeBuildInputs = with pkgs; [
@@ -10,9 +9,13 @@ pkgs.mkShell
     python312Packages.orjson
     hugo
     tmux
+    mongodb-tools
+    python312Packages.uvicorn
+    python312Packages.fastapi
+    python312Packages.pymongo
   ];
 
-  shellHook = '' 
+  shellHook = ''
     ${pkgs.cowsay}/bin/cowsay "Welcome to the baseddata.io development environment!" | ${pkgs.lolcat}/bin/lolcat
 
     get_session=$(tmux list-session | grep "baseddata")
@@ -22,9 +25,8 @@ pkgs.mkShell
        tmux new-session -d -s baseddata
        tmux split-window -h
        tmux send-keys -t 0 "hugo server" C-m
-       tmux send-keys -t 1 "cd backend && python app.py" C-m
+       tmux send-keys -t 1 "python backend/main.py" C-m
        echo "Baseddata running in dev tmux shell"
     fi
-    '';
+  '';
 }
-