update pyproject

.gitignore

@@ -5,3 +5,5 @@
 /data
 backend/api_logs.txt
 *__pycache__*
+.env
+poetry.lock

backend/api/pipelines.py

@@ -0,0 +1,215 @@
+def parse_int(args):
+    try:
+       return int( args )
+    except ValueError:
+        print(f"{args} cannot be cast to int")
+        raise
+
+def mangrove_by_country_latest():
+    return """
+           select * from models_final.final__protected_mangroves_summary_stats_by_country_agg
+           where year = '2020'
+           order by cumulative_pixels_diff desc
+           """
+
+def bitcoin_business_growth_timeseries(args):
+    days_ago = parse_int(args["days_ago"])
+    country_name = args["country_name"]
+    return f"""
+           select * from models_final.final__bitcoin_business_growth_by_country
+           where days_ago <= {days_ago} and country_name = '{country_name}'
+           order by date
+           """
+
+def bitcoin_business_growth_percent_diff_days_ago(args):
+    days_ago = parse_int(args["days_ago"])
+    return f"""
+           with
+               filtered_data as (
+                   select country_name, date, days_ago, cumulative_value
+                   from models_final.final__bitcoin_business_growth_by_country
+                   where days_ago <= {days_ago}
+                   order by country_name, days_ago desc
+               ),
+               first_and_last_values as (
+                   select
+                       country_name,
+                       date,
+                       days_ago,
+                       cumulative_value,
+                       first_value(cumulative_value) over (
+                           partition by country_name order by days_ago desc
+                       ) as first_value,
+                       first_value(date) over (
+                           partition by country_name order by days_ago desc
+                       ) as first_date,
+                       first_value(cumulative_value) over (
+                           partition by country_name order by days_ago
+                       ) as last_value,
+                       first_value(date) over (
+                           partition by country_name order by days_ago
+                       ) as last_date
+                   from filtered_data
+               ),
+               diff as (
+                   select
+                       country_name,
+                       date,
+                       first_date,
+                       last_date,
+                       days_ago,
+                       cumulative_value,
+                       first_value,
+                       last_value,
+                       last_value - first_value as difference,
+                       round(
+                           100 * safe_divide((last_value - first_value), first_value), 2
+                       ) as percent_difference
+                   from first_and_last_values
+               )
+           select *
+           from diff
+           where days_ago = 1
+           order by difference desc
+           """
+# def bitcoin_business_growth_timeseries(query):
+#     pipeline = [
+#         {
+#             "$match": {
+#                 "days_ago": {"$lte": int(query["days_ago"])},
+#                 "country_name": query["country_name"],
+#             }
+#         },
+#         {
+#             "$project": {
+#                 "country_name": "$country_name",
+#                 "date": "$date",
+#                 "cumulative_value": "$cumulative_value",
+#             }
+#         },
+#         {"$sort": {"country_name": 1, "days_ago": 1}},
+#     ]
+#     return pipeline
+# def mangrove_by_country_latest():
+#     pipeline = [
+#         {
+#             "$match": {"year": "2020"},
+#         },
+#     ]
+#     return pipeline
+#
+#
+# def mangrove_by_country_agg(query):
+#     pipeline = [
+#         {"$match": {"country_with_parent": query["country_with_parent"]}},
+#         {
+#             "$group": {
+#                 "_id": {"country_with_parent": "$country_with_parent", "year": "$year"},
+#                 "total_pixels": {"$sum": "$total_n_pixels"},
+#             }
+#         },
+#         {
+#             "$project": {
+#                 "_id": 0,
+#                 "country_with_parent": "$_id.country_with_parent",
+#                 "year": "$_id.year",
+#                 "total_pixels": 1,
+#             }
+#         },
+#         {"$sort": {"year": 1}},
+#     ]
+#     return pipeline
+#
+#
+# def bitcoin_business_growth_timeseries(query):
+#     pipeline = [
+#         {
+#             "$match": {
+#                 "days_ago": {"$lte": int(query["days_ago"])},
+#                 "country_name": query["country_name"],
+#             }
+#         },
+#         {
+#             "$project": {
+#                 "country_name": "$country_name",
+#                 "date": "$date",
+#                 "cumulative_value": "$cumulative_value",
+#             }
+#         },
+#         {"$sort": {"country_name": 1, "days_ago": 1}},
+#     ]
+#     return pipeline
+#
+#
+# def bitcoin_business_growth_percent_diff_days_ago(query):
+    pipeline = [
+        {"$match": {"days_ago": {"$lte": int(query["days_ago"])}}},
+        {"$sort": {"country_name": 1, "days_ago": 1}},
+        {
+            "$group": {
+                "_id": "$country_name",
+                "firstvalue": {"$first": "$cumulative_value"},
+                "lastvalue": {"$last": "$cumulative_value"},
+                "firstdate": {"$min": "$date"},
+                "lastdate": {"$max": "$date"},
+            }
+        },
+        {
+            "$project": {
+                "country_name": "$_id",
+                "first_value": "$firstvalue",
+                "last_value": "$lastvalue",
+                "difference": {
+                    "$subtract": [
+                        {"$todouble": "$firstvalue"},
+                        {"$todouble": "$lastvalue"},
+                    ]
+                },
+                "first_date": "$firstdate",
+                "last_date": "$lastdate",
+                "percent_difference": {
+                    "$cond": {
+                        "if": {"$eq": [{"$todouble": "$lastvalue"}, 0]},
+                        "then": {
+                            "$cond": {
+                                "if": {"$gt": [{"$todouble": "$firstvalue"}, 0]},
+                                "then": "new",
+                                "else": "none",
+                            }
+                        },
+                        "else": {
+                            "$round": [
+                                {
+                                    "$multiply": [
+                                        {
+                                            "$divide": [
+                                                {
+                                                    "$subtract": [
+                                                        {"$todouble": "$firstvalue"},
+                                                        {"$todouble": "$lastvalue"},
+                                                    ]
+                                                },
+                                                {"$todouble": "$lastvalue"},
+                                            ]
+                                        },
+                                        100,
+                                    ]
+                                }
+                            ]
+                        },
+                    }
+                },
+            }
+        },
+    ]
+    return pipeline
+#
+#
+# def bitcoin_business_growth_latest(query):
+#     pipeline = [
+#         {
+#             "$match": query["filter"],
+#         },
+#         {"$sort": {"date": 1}},
+#     ]
+#     return pipeline

backend/api/postgres_handler.py

@@ -0,0 +1,34 @@
+from psycopg2.extras import RealDictCursor
+import psycopg2, os
+
+class PostgresHandler:
+    def __init__(self):
+        self.connection = self.connect_to_pg()
+        self.cur = self.connection.cursor(cursor_factory=RealDictCursor)
+
+    def connect_to_pg(self):
+        try:
+            connection = psycopg2.connect(
+                dbname=os.getenv('PGDATABASE'),
+                host=os.getenv('PGHOST'),
+                user=os.getenv('PGUSER'),
+                password=os.getenv('PGPASSWORD'),
+                port=os.getenv('PGPORT'),
+            )
+        except Exception as e:
+            message=f"Connection to postgres database failed: {e}"
+            raise Exception(message)
+        print(f"Successfully connected to DB")
+        return connection
+
+    def execute_query(self, query):
+        try:
+            self.cur.execute(query)
+            results = self.cur.fetchall()
+            self.connection.commit()
+            self.connection.close()
+            return results
+        except Exception:
+            print("Error executing query")
+            raise
+

backend/api/route.py

@@ -0,0 +1,96 @@
+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("/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
+

backend/api/schemas.py

@@ -1,6 +1,3 @@
-def dt_to_date(datetime):
-    return datetime.date()
-
 def mangrove_by_country_latest_schema(data):
     return {
         "country_with_parent": str(data["country_with_parent"]),
@@ -20,8 +17,8 @@ def mangrove_by_country_agg_schema(data):
 def bitcoin_business_growth_percent_diff_schema(data):
     return {
         "country_name": str(data["country_name"]),
+        "date_range": str(f'{data["first_date"]} to {data["last_date"]}'),
         "first_value": int(data["first_value"]),
-        "date_range": str(f'{dt_to_date(data["first_date"])} to {dt_to_date(data["last_date"])}'),
         "last_value": int(data["last_value"]),
         "difference": int(data["difference"]),
         "percent_difference": str(data["percent_difference"])
@@ -30,7 +27,7 @@ def bitcoin_business_growth_percent_diff_schema(data):
 def bitcoin_business_growth_timeseries_schema(data):
     return {
         "country_name": str(data["country_name"]),
-        "date": dt_to_date(data["date"]),
+        "date": data["date"],
         "cumulative_value": int(data["cumulative_value"])
     }
 
@@ -39,7 +36,7 @@ class DataSerializer:
         self.schema_func = schema_func
 
     def serialize_one(self, data) -> dict:
-        return self.schema_func(data)
+        return self.schema_func(dict( data ))
 
     def serialize_many(self, data_list) -> list:
         return [self.serialize_one(data) for data in data_list]

backend/config/database.py

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

backend/main.py

@@ -1,15 +1,6 @@
 from fastapi import FastAPI
-from pymongo.mongo_client import MongoClient
-from routes.route import router
+from api.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

@@ -1,12 +0,0 @@
-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

@@ -1,123 +0,0 @@
-def mangrove_by_country_latest():
-    pipeline = [
-        {
-            "$match": {"year": "2020"},
-        },
-    ]
-    return pipeline
-
-
-def mangrove_by_country_agg(query):
-    pipeline = [
-        {"$match": {"country_with_parent": query["country_with_parent"]}},
-        {
-            "$group": {
-                "_id": {"country_with_parent": "$country_with_parent", "year": "$year"},
-                "total_pixels": {"$sum": "$total_n_pixels"},
-            }
-        },
-        {
-            "$project": {
-                "_id": 0,
-                "country_with_parent": "$_id.country_with_parent",
-                "year": "$_id.year",
-                "total_pixels": 1,
-            }
-        },
-        {"$sort": {"year": 1}},
-    ]
-    return pipeline
-
-
-def bitcoin_business_growth_timeseries(query):
-    pipeline = [
-        {
-            "$match": {
-                "days_ago": {"$lte": int(query["days_ago"])},
-                "country_name": query["country_name"],
-            }
-        },
-        {
-            "$project": {
-                "country_name": "$country_name",
-                "date": "$date",
-                "cumulative_value": "$cumulative_value",
-            }
-        },
-        {"$sort": {"country_name": 1, "days_ago": 1}},
-    ]
-    return pipeline
-
-
-def bitcoin_business_growth_percent_diff_days_ago(query):
-    pipeline = [
-        {"$match": {"days_ago": {"$lte": int(query["days_ago"])}}},
-        {"$sort": {"country_name": 1, "days_ago": 1}},
-        {
-            "$group": {
-                "_id": "$country_name",
-                "firstValue": {"$first": "$cumulative_value"},
-                "lastValue": {"$last": "$cumulative_value"},
-                "firstDate": {"$min": "$date"},
-                "lastDate": {"$max": "$date"},
-            }
-        },
-        {
-            "$project": {
-                "country_name": "$_id",
-                "first_value": "$firstValue",
-                "last_value": "$lastValue",
-                "difference": {
-                    "$subtract": [
-                        {"$toDouble": "$firstValue"},
-                        {"$toDouble": "$lastValue"},
-                    ]
-                },
-                "first_date": "$firstDate",
-                "last_date": "$lastDate",
-                "percent_difference": {
-                    "$cond": {
-                        "if": {"$eq": [{"$toDouble": "$lastValue"}, 0]},
-                        "then": {
-                            "$cond": {
-                                "if": {"$gt": [{"$toDouble": "$firstValue"}, 0]},
-                                "then": "new",
-                                "else": "none",
-                            }
-                        },
-                        "else": {
-                            "$round": [
-                                {
-                                    "$multiply": [
-                                        {
-                                            "$divide": [
-                                                {
-                                                    "$subtract": [
-                                                        {"$toDouble": "$firstValue"},
-                                                        {"$toDouble": "$lastValue"},
-                                                    ]
-                                                },
-                                                {"$toDouble": "$lastValue"},
-                                            ]
-                                        },
-                                        100,
-                                    ]
-                                }
-                            ]
-                        },
-                    }
-                },
-            }
-        },
-    ]
-    return pipeline
-
-
-def bitcoin_business_growth_latest(query):
-    pipeline = [
-        {
-            "$match": query["filter"],
-        },
-        {"$sort": {"date": 1}},
-    ]
-    return pipeline

backend/routes/route.py

@@ -1,61 +0,0 @@
-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
-import ast
-
-router = APIRouter()
-
-
-@router.get("/mangrove_by_country_latest")
-async def mangrove_by_country_latest():
-    db = client.baseddata
-    collection_name = db["final__protected_mangroves_summary_stats_by_country_agg"]
-    schema = schemas.mangrove_by_country_latest_schema
-    pipeline = pipelines.mangrove_by_country_latest()
-    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_percent_diff")
-async def bitcoin_business_growth_percent_diff(query: str):
-    query = ast.literal_eval(query)
-    db = client.baseddata
-    collection_name = db["final__bitcoin_business_growth_by_country"]
-    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("/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

content/data-lab/global-business-growth.md

@@ -16,7 +16,7 @@ The chart always reflects the countries selected in the table.
 
 <br/>
 {{< dropdown_filter id="days_ago_dropdown_filter" id_filter="days_ago" options="1 day:1,7 day:7,28 day:28,1 year:365,5 year:1826,10 year:3652,all time:10000" default_selection="7 day" targets="bitcoin-business-growth-chart bitcoin-business-growth-table" >}}
-{{< table id="bitcoin-business-growth-table" endpoint="bitcoin_business_growth_percent_diff" headers="{'country_name': 'Country', 'date_range': 'Date Range', 'last_value': 'Previous #', 'first_value': 'Current #', 'difference': 'Diff', 'percent_difference': '% Diff'}" maxHeight="400px" sortable="true" valueId="country_name" selectableRows="multi" targets="bitcoin-business-growth-chart" >}}
+{{< table id="bitcoin-business-growth-table" endpoint="bitcoin_business_growth_percent_diff" headers="{'country_name': 'Country', 'date_range': 'Date Range', 'first_value': 'Previous #', 'last_value': 'Current #', 'difference': 'Diff', 'percent_difference': '% Diff'}" maxHeight="400px" sortable="true" valueId="country_name" selectableRows="multi" targets="bitcoin-business-growth-chart" defaultFirstSelected="true" >}}
 
 {{< chart id="bitcoin-business-growth-chart" endpoint="bitcoin_business_growth_timeseries" chartType="line" xAxisField="date" yAxisField="cumulative_value" scaleChart=true >}}
 

content/data-lab/protected-mangroves.md

@@ -9,6 +9,8 @@ tags: ["Bitcoin", "Stats"]
 script: "/js/mangrove-map.js"
 ---
 
-{{< table id="mangrove_countries" endpoint="mangrove_by_country_latest" 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" valueId="country_with_parent" selectableRows="single" >}}
+{{< table id="mangrove_countries" endpoint="mangrove_by_country_latest" 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" valueId="country_with_parent" selectableRows="single" defaultFirstSelected="true" >}}
 {{< chart id="mangrove_countries" endpoint="mangrove_by_country_agg" chartType="bar" xAxisField="year" yAxisField="total_pixels" scaleChart=true >}}
 {{< map id="map" style="https://tiles.semitamaps.com/styles/maptiler-basic/style.json">}}
+
+{{< chart id="mangrove-country-timeseries-chart" endpoint="mangrove_country_timeseries" chartType="line" xAxisField="date" yAxisField="n_pixels" scaleChart=true >}}

layouts/partials/table.html

@@ -7,7 +7,8 @@
     sortable,
     valueId,
     selectableRows,
-    filterTargets
+    filterTargets,
+    defaultFirstSelected,
   ) {
     async function fetchDataForTable(query) {
       try {
@@ -25,9 +26,7 @@
     }
 
     function generateTable(data) {
-      const jsonTableContainer = document.getElementById(
-        `${id}--container`,
-      );
+      const jsonTableContainer = document.getElementById(`${id}--container`);
       jsonTableContainer.className = "jsonTableContainer";
       jsonTableContainer.innerHTML = "";
       jsonTableContainer.style.maxHeight = maxHeight;
@@ -63,6 +62,13 @@
       }
       table.appendChild(thead);
       table.appendChild(tbody);
+      jsonTableContainer.appendChild(table);
+
+      // sortable
+      if (sortable == "true") {
+        table.className = "sortable";
+        sorttable.makeSortable(document.getElementById(`${id}`));
+      }
 
       if (selectableRows === "multi" || selectableRows === "single") {
         const rows = table.getElementsByTagName("tr");
@@ -76,7 +82,7 @@
                     filterId: valueId,
                     filterValue: this.value,
                     filterActions: ["selected"],
-                    filterTargets: filterTargets
+                    filterTargets: filterTargets,
                   },
                 });
                 document.dispatchEvent(event);
@@ -86,7 +92,7 @@
                     filterId: valueId,
                     filterValue: this.value,
                     filterActions: ["deselected"],
-                    filterTargets: filterTargets
+                    filterTargets: filterTargets,
                   },
                 });
                 document.dispatchEvent(event);
@@ -102,20 +108,28 @@
               }
             }
           });
+          if (defaultFirstSelected == true) {
+            if (i == 1) {
+              rows[i].classList.add("selected");
+              const event = new CustomEvent("filterChange", {
+                detail: {
+                  filterId: valueId,
+                  filterValue: rows[i].value,
+                  filterActions: ["selected"],
+                  filterTargets: filterTargets,
+                },
+              });
+              document.dispatchEvent(event);
+            }
+          }
         }
       }
-      jsonTableContainer.appendChild(table);
 
-      // sortable
-      if (sortable == "true") {
-        table.className = "sortable";
-        sorttable.makeSortable(document.getElementById(`${id}`));
-      }
     }
-    
+
     // listen for filter events for this target
     document.addEventListener("filterChange", function (event) {
-      tableId = document.getElementById(id).id 
+      tableId = document.getElementById(id).id;
       if (event.detail.filterTargets.includes(tableId)) {
         query = queryConstructor();
         fetchDataForTable(query);

layouts/shortcodes/table.html

@@ -2,7 +2,7 @@
 <div id = '{{ .Get "id" }}--container'>
 <script>
 document.addEventListener("DOMContentLoaded", function () {
-  createTable({{ .Get "endpoint" }}, {{ .Get "id" }}, {{ .Get "headers" | safeJS }}, {{ .Get "maxHeight" }}, {{ .Get "sortable" }}, {{ .Get "valueId" }}, {{ .Get "selectableRows" }}, '{{ .Get "targets" }}'.split(" "))
+  createTable({{ .Get "endpoint" }}, {{ .Get "id" }}, {{ .Get "headers" | safeJS }}, {{ .Get "maxHeight" }}, {{ .Get "sortable" }}, {{ .Get "valueId" }}, {{ .Get "selectableRows" }}, '{{ .Get "targets" }}'.split(" "), {{ .Get "defaultFirstSelected" | safeJS }})
 });
 </script>
 </div>

pyproject.toml

@@ -0,0 +1,22 @@
+[tool.poetry]
+name = "baseddata-io"
+version = "0.1.0"
+description = ""
+authors = ["Sam <samual.shop@proton.me>"]
+readme = "README.md"
+packages = [{include = "baseddata"}]
+package-mode = false
+
+[virtualenvs]
+in-project = true
+
+[tool.poetry.dependencies]
+python = "^3.11"
+fastapi = "^0.115.4"
+uvicorn = "^0.32.0"
+psycopg2 = "^2.9.10"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

shell.nix

@@ -2,22 +2,18 @@
 pkgs.mkShell
 {
   nativeBuildInputs = with pkgs; [
-    python312Packages.flask
-    python312Packages.flask-cors
-    python312Packages.requests
-    python312Packages.pandas
-    python312Packages.orjson
     hugo
-    tmux
-    mongodb-tools
-    python312Packages.uvicorn
-    python312Packages.fastapi
-    python312Packages.pymongo
+    python311
+    poetry
   ];
 
+  NIX_LD_LIBRARY_PATH=/run/current-system/sw/share/nix-ld/lib;
+  NIX_LD=/run/current-system/sw/share/nix-ld/lib/ld.so;
   shellHook = ''
     ${pkgs.cowsay}/bin/cowsay "Welcome to the baseddata.io development environment!" | ${pkgs.lolcat}/bin/lolcat
-
+    export LD_LIBRARY_PATH=$NIX_LD_LIBRARY_PATH
+    source .env
+    source .venv/bin/activate
     get_session=$(tmux list-session | grep "baseddata")
 
     if [ -z "$get_session" ];

static/css/charts.css

@@ -1,7 +1,8 @@
 /* Charts */
 .chart-container {
   display: flex;
-  height: 300px;
+  /* height: 600px; */
+  aspect-ratio: 1 / 1;
 }
 
 .chart {

static/css/tables.css

@@ -4,6 +4,10 @@
   overflow-y: auto;
 }
 
+table.sortable th:not(.sorttable_sorted):not(.sorttable_sorted_reverse):not(.sorttable_nosort):after { 
+    content: " \25B4\25BE" 
+}
+
 table {
   width: 100%;
   border-collapse: collapse;