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.hugo_build.lock
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*.json
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/data
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backend/api_logs.txt
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*__pycache__*
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.env
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poetry.lock
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LICENSE.md
428
LICENSE.md
|
|
@ -1,428 +0,0 @@
|
|||
Attribution-ShareAlike 4.0 International
|
||||
|
||||
=======================================================================
|
||||
|
||||
Creative Commons Corporation ("Creative Commons") is not a law firm and
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=======================================================================
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By exercising the Licensed Rights (defined below), You accept and agree
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Every recipient of Adapted Material from You
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In addition to the conditions in Section 3(a), if You Share
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Where the Licensed Rights include Sui Generis Database Rights that
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For the avoidance of doubt, this Section 4 supplements and does not
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a. This Public License applies for the term of the Copyright and
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|
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For the avoidance of doubt, this Section 6(b) does not affect any
|
||||
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|
||||
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|
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|
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|
||||
Section 7 -- Other Terms and Conditions.
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|
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Section 8 -- Interpretation.
|
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|
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a. For the avoidance of doubt, this Public License does not, and
|
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|
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|
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|
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|
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|
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|
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|
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d. Nothing in this Public License constitutes or may be interpreted
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|
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|
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=======================================================================
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Creative Commons is not a party to its public
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|
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Creative Commons may be contacted at creativecommons.org.
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|
||||
|
|
@ -1,3 +1,3 @@
|
|||
# My personal website ([https://baseddata.io](https://baseddata.io))
|
||||
# My personal website ([https://bitlab21.com](https://bitlab21.com))
|
||||
|
||||
This site is made using [Hugo](https://gohugo.io/), a static website generator. The backend (which powers the api for getting data for the charts) is build in python and served using gunicorn.
|
||||
|
|
|
|||
|
|
@ -1,134 +0,0 @@
|
|||
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 mangrove_country_timeseries(args):
|
||||
country_name = args["country_with_parent"]
|
||||
return f"""
|
||||
select year, total_n_pixels from models_final.final__protected_mangroves_summary_stats_by_country_agg
|
||||
where country_with_parent = '{country_name}'
|
||||
order by year
|
||||
"""
|
||||
|
||||
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 * models_final.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 miner_rewards(args):
|
||||
days_ago = parse_int(args["days_ago"])
|
||||
return f"""
|
||||
with
|
||||
filtered_data as (
|
||||
select * from models_final.final__miner_rewards order by date desc limit {days_ago}
|
||||
)
|
||||
select *
|
||||
from filtered_data
|
||||
order by date asc
|
||||
|
||||
"""
|
||||
|
||||
def feerate_percentiles(args):
|
||||
days_ago = parse_int(args["days_ago"])
|
||||
return f"""
|
||||
with
|
||||
filtered_data as (
|
||||
select * from models_final.final__feerate_percentiles order by date desc limit {days_ago}
|
||||
)
|
||||
select *
|
||||
from filtered_data
|
||||
order by date asc
|
||||
|
||||
"""
|
||||
|
||||
def bitcoin_price_timeseries(args):
|
||||
days_ago = parse_int(args["days_ago"])
|
||||
return f"""
|
||||
with
|
||||
filtered_data as (
|
||||
select * from models_final.final__bitcoin_price order by date desc limit {days_ago}
|
||||
)
|
||||
select *
|
||||
from filtered_data
|
||||
order by date asc
|
||||
|
||||
"""
|
||||
|
||||
def bitcoin_hashrate(args):
|
||||
days_ago = parse_int(args["days_ago"])
|
||||
return f"""
|
||||
with
|
||||
filtered_data as (
|
||||
select * from models_final.final__hashrate order by date desc limit {days_ago}
|
||||
)
|
||||
select *
|
||||
from filtered_data
|
||||
order by date asc
|
||||
|
||||
"""
|
||||
|
|
@ -1,37 +0,0 @@
|
|||
from psycopg2.extras import RealDictCursor
|
||||
from dotenv import load_dotenv
|
||||
import psycopg2, os
|
||||
|
||||
load_dotenv()
|
||||
|
||||
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
|
||||
|
||||
|
|
@ -1,123 +0,0 @@
|
|||
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("/miner_rewards")
|
||||
async def miner_rewards(query: str):
|
||||
args = parse_args_to_dict(query)
|
||||
|
||||
pipeline = pipelines.miner_rewards(args)
|
||||
handler = PostgresHandler()
|
||||
|
||||
schema = schemas.miner_rewards_schema
|
||||
serializer = DataSerializer(schema)
|
||||
|
||||
rawData = handler.execute_query(pipeline)
|
||||
serializedData = serializer.serialize_many(rawData)
|
||||
return serializedData
|
||||
|
||||
@router.get("/feerate_percentiles")
|
||||
async def feerate_percentiles(query: str):
|
||||
args = parse_args_to_dict(query)
|
||||
|
||||
pipeline = pipelines.feerate_percentiles(args)
|
||||
handler = PostgresHandler()
|
||||
|
||||
schema = schemas.feerate_percentiles_schema
|
||||
serializer = DataSerializer(schema)
|
||||
|
||||
rawData = handler.execute_query(pipeline)
|
||||
serializedData = serializer.serialize_many(rawData)
|
||||
return serializedData
|
||||
|
||||
@router.get("/bitcoin_price_timeseries")
|
||||
async def bitcoin_price_timeseries(query: str):
|
||||
args = parse_args_to_dict(query)
|
||||
|
||||
pipeline = pipelines.bitcoin_price_timeseries(args)
|
||||
handler = PostgresHandler()
|
||||
|
||||
schema = schemas.bitcoin_price_timeseries_schema
|
||||
serializer = DataSerializer(schema)
|
||||
|
||||
rawData = handler.execute_query(pipeline)
|
||||
serializedData = serializer.serialize_many(rawData)
|
||||
return serializedData
|
||||
|
||||
@router.get("/bitcoin_hashrate")
|
||||
async def bitcoin_hashrate(query: str):
|
||||
args = parse_args_to_dict(query)
|
||||
|
||||
pipeline = pipelines.bitcoin_hashrate(args)
|
||||
handler = PostgresHandler()
|
||||
|
||||
schema = schemas.bitcoin_hashrate_schema
|
||||
serializer = DataSerializer(schema)
|
||||
|
||||
rawData = handler.execute_query(pipeline)
|
||||
serializedData = serializer.serialize_many(rawData)
|
||||
return serializedData
|
||||
|
|
@ -1,89 +0,0 @@
|
|||
def mangrove_by_country_latest_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"]),
|
||||
}
|
||||
|
||||
|
||||
def mangrove_country_timeseries_schema(data):
|
||||
return {
|
||||
"year": str(data["year"]),
|
||||
"total_n_pixels": int(data["total_n_pixels"]),
|
||||
}
|
||||
|
||||
|
||||
def mangrove_by_country_agg_schema(data):
|
||||
return {
|
||||
"country_with_parent": str(data["country_with_parent"]),
|
||||
"year": int(data["year"]),
|
||||
"total_pixels": int(data["total_pixels"]),
|
||||
}
|
||||
|
||||
|
||||
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"]),
|
||||
"last_value": int(data["last_value"]),
|
||||
"difference": int(data["difference"]),
|
||||
"percent_difference": str(data["percent_difference"]),
|
||||
}
|
||||
|
||||
|
||||
def bitcoin_business_growth_timeseries_schema(data):
|
||||
return {
|
||||
"country_name": str(data["country_name"]),
|
||||
"date": data["date"],
|
||||
"cumulative_value": int(data["cumulative_value"]),
|
||||
}
|
||||
|
||||
|
||||
def miner_rewards_schema(data):
|
||||
return {
|
||||
"date": data["date"],
|
||||
"block_subsidy": data["block_subsidy"],
|
||||
"total_reward_usd": data["total_reward_usd"],
|
||||
"totalfee_usd": data["totalfee_usd"],
|
||||
"subsidy_usd": data["subsidy_usd"],
|
||||
}
|
||||
|
||||
def feerate_percentiles_schema(data):
|
||||
return {
|
||||
"date": data["date"],
|
||||
"feerate_10th": data["feerate_10th"],
|
||||
"feerate_25th": data["feerate_25th"],
|
||||
"feerate_50th": data["feerate_50th"],
|
||||
"feerate_75th": data["feerate_75th"],
|
||||
"feerate_90th": data["feerate_90th"],
|
||||
"maxfeerate": data["maxfeerate"],
|
||||
"minfeerate": data["minfeerate"],
|
||||
}
|
||||
|
||||
def bitcoin_price_timeseries_schema(data):
|
||||
return {
|
||||
"date": data["date"],
|
||||
"price": data["price"],
|
||||
}
|
||||
|
||||
def bitcoin_hashrate_schema(data):
|
||||
return {
|
||||
"date": data["date"],
|
||||
"hashrate": data["hashrate"],
|
||||
"difficulty": data["difficulty"],
|
||||
"hashrate28": data["hashrate28"],
|
||||
"difficulty28": data["difficulty28"],
|
||||
}
|
||||
|
||||
class DataSerializer:
|
||||
def __init__(self, schema_func):
|
||||
self.schema_func = schema_func
|
||||
|
||||
def serialize_one(self, data) -> dict:
|
||||
return self.schema_func(dict(data))
|
||||
|
||||
def serialize_many(self, data_list) -> list:
|
||||
return [self.serialize_one(data) for data in data_list]
|
||||
63
backend/app.py
Normal file
63
backend/app.py
Normal file
|
|
@ -0,0 +1,63 @@
|
|||
from flask import Flask, jsonify, request, json, Response, send_from_directory, abort
|
||||
from flask_cors import CORS
|
||||
import orjson, os
|
||||
|
||||
app = Flask(__name__)
|
||||
CORS(app)
|
||||
|
||||
FILES_DIRECTORY = '../data/'
|
||||
|
||||
@app.route('/bitcoin_business_growth_by_country', methods=['GET'])
|
||||
def business_growth():
|
||||
# Parse args from request
|
||||
latest_date = request.args.get('latest_date')
|
||||
country_names = request.args.get('countries') # change this line
|
||||
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:
|
||||
filtered_data = [item for item in filtered_data if item['cumulative_period_type'] == cumulative_period_type]
|
||||
|
||||
# Sort by date
|
||||
sorted_data = sorted(filtered_data, key=lambda x: x['date'], reverse=True)
|
||||
|
||||
# Return json
|
||||
return Response(json.dumps(sorted_data), mimetype='application/json')
|
||||
|
||||
@app.route('/get_json/<filename>', methods=['GET'])
|
||||
def get_json(filename):
|
||||
file_path = os.path.join(FILES_DIRECTORY, filename)
|
||||
if not os.path.isfile(file_path):
|
||||
abort(404)
|
||||
|
||||
with open(file_path, 'r') as file:
|
||||
data = json.load(file)
|
||||
|
||||
return jsonify(data)
|
||||
|
||||
@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)
|
||||
|
||||
if __name__ == '__main__':
|
||||
app.run(debug=True)
|
||||
|
||||
if __name__ == '__main__':
|
||||
app.run()
|
||||
|
|
@ -1,13 +0,0 @@
|
|||
[Unit]
|
||||
Description=Uvicorn instance to serve baseddata.io
|
||||
After=network.target
|
||||
|
||||
[Service]
|
||||
User=admin
|
||||
Group=www-data
|
||||
WorkingDirectory=/var/www/baseddata.io/backend
|
||||
Environment="PATH=/var/www/baseddata.io/.venv/bin"
|
||||
ExecStart=/var/www/baseddata.io/.venv/bin/uvicorn --workers 4 --uds /var/sockets/baseddata.sock main:app
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
13
backend/bitlab21.service
Normal file
13
backend/bitlab21.service
Normal file
|
|
@ -0,0 +1,13 @@
|
|||
[Unit]
|
||||
Description=Gunicorn instance to serve bitlab21.com
|
||||
After=network.target
|
||||
|
||||
[Service]
|
||||
User=admin
|
||||
Group=www-data
|
||||
WorkingDirectory=/var/www/bitlab21.com/backend
|
||||
Environment="PATH=/var/www/bitlab21.com/.venv/bin"
|
||||
ExecStart=/var/www/bitlab21.com/.venv/bin/gunicorn --workers 4 --bind unix:bitlab21.sock -m 007 app:app
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
|
|
@ -1,21 +0,0 @@
|
|||
from fastapi import FastAPI
|
||||
from api.route import router
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
app.include_router(router)
|
||||
|
||||
origins = [
|
||||
"https://baseddata.io",
|
||||
"https://api.baseddata.io",
|
||||
]
|
||||
|
||||
# Add the CORS middleware to the app
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=origins,
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
|
@ -4,11 +4,11 @@ toc: False
|
|||
|
||||
# Grounded Insights from Open Data
|
||||
|
||||
**This site is currently under construction**.
|
||||
This site is currently under construction. The direction I intend for this site to take is as a place to publish analytical insights derived from open data. I have a page called [Data Lab](/data-lab) where I publish interactive analytical dashboards, a blog to publish tutorials and thoughts on various related topics, and a [data downloads](/data-download) page for data access.
|
||||
|
||||
I intend for this to be a place to publish my personal work to share with others. I have a page called [Data Lab](/data-lab) where I publish interactive analytical dashboards based on open data, a blog to publish tutorials and thoughts I have on various topics, and a [data downloads](/data-downloads) page for data access.
|
||||
I'm interested in a broad set of topics such as Linux, analytics and data engineering, GIS and bitcoin. So expect to see content related to these topics published on this site.
|
||||
|
||||
I'm interested in a broad set of topics such as Linux, analytics and data engineering, Geographic Information Systems (GIS) and bitcoin. So expect to see content related to these topics published on this site.
|
||||
I strongly believe in the philosophy of [Free Software](https://www.gnu.org/philosophy/free-sw.html) and [Open Data](https://en.wikipedia.org/wiki/Open_data). Therefore, all material on this site is released into the public domain unless otherwise specified. For more information, see [here](/license).
|
||||
|
||||
### Explore Based Data
|
||||
|
||||
|
|
|
|||
|
|
@ -9,13 +9,16 @@ toc: false
|
|||
|
||||
My name is Sam Chance, and this is my personal site.
|
||||
|
||||
I'm a professional Analytics Engineer with a passion for working with data. I built this website as a place to publish my personal work.
|
||||
I'm an independent Analytics Engineer with a passion for working with data. I built this website as a place to publish my personal work.
|
||||
|
||||
If you wish to work with me, then please email me on *contact@sjplab.com*.
|
||||
|
||||
More about my professional life [here](/cv).
|
||||
|
||||
|
||||
### Shortcuts to some of my work:
|
||||
|
||||
- [Data Lab](/data-lab) A selection of charts and metrics obtained from public data
|
||||
- [Based Data Lab](/data-lab) A selection of charts and metrics obtained from public data
|
||||
|
||||
- [Map Printing Service](https://semitamaps.com) A free map printing service based on Openstreetmaps
|
||||
|
||||
|
|
@ -25,7 +28,7 @@ If you wish to work with me, then please email me on *contact@sjplab.com*.
|
|||
|
||||
### Software I use:
|
||||
|
||||
- [**Neovim**](https://neovim.io/) for text editing (my neovim config is part of my [nixos](https://git.bitlab21.com/sam/nixos/src/branch/master/home/common/core/nixvim) configuration)
|
||||
- [**Neovim**](https://neovim.io/) for text editing (my neovim config is part of my [nixos](https://git.bitlab21.com/sam/nixos) configuration)
|
||||
|
||||
- I use **Linux** on all my machines
|
||||
|
||||
|
|
|
|||
|
|
@ -51,7 +51,7 @@ Next we can run the following command to download the rasters. This will take so
|
|||
aws s3 cp s3://raster/SRTM_GL1/ . --recursive --endpoint-url https://opentopography.s3.sdsc.edu --no-sign-request
|
||||
{{</ highlight >}}
|
||||
|
||||
If you'd prefer to download specific rasters or rasters for a region instead of downloading them all, you can select regions for download from the OpenTopography [website](https://portal.opentopography.org/raster?opentopoID=OTSRTM.082015.4326.1) using the interactive map.
|
||||
If you'd prefer to download specific rasters or rasters for a region instead, you can checkout this [website](https://dwtkns.com/srtm30m/).
|
||||
|
||||
## Using raster2pgsql to import raster tiles into PostGIS
|
||||
Now we have the data downloaded on our system, we can import it into our database.
|
||||
|
|
@ -98,9 +98,9 @@ So we have just over 12 million 128x128 tiles in the database.
|
|||
|
||||
## Raster Clipping
|
||||
|
||||
Now we have global SRTM data loaded in our local database, we can extract the tiles we want for further analysis.
|
||||
Now we have global SRTM data loaded in our local database, we can extract any of the tiles for further analysis and access this using any application.
|
||||
|
||||
Here we'll create a digital elevation raster for Singapore to demonstrate using the following PostGIS commands: `st_clip`, `st_intersects` and `st_union`, then import this into QGIS to style and visualise the results.
|
||||
Here I'll demonstrate using the following PostGIS commands: `st_clip`, `st_intersects` and `st_union` to create a digital elevation table for singapore and access this from from within QGIS.
|
||||
|
||||
I already have countries vector data in my Postgres database that I extracted from OpenStreetMaps. You can download a pg_dump of this [here](/data/countries.sql) to insert into your database. Alternatively, I have a post [here](/blogs/import-osm-countries-data) that explains the process to do this manually.
|
||||
|
||||
|
|
@ -224,6 +224,3 @@ This DEM raster of Singapore is available for download from the downloads page [
|
|||
|
||||
#### Citations
|
||||
NASA Shuttle Radar Topography Mission (SRTM)(2013). Shuttle Radar Topography Mission (SRTM) Global. Distributed by OpenTopography. https://doi.org/10.5069/G9445JDF. Accessed: 2024-08-06
|
||||
|
||||
#### Attribution and License
|
||||
© [OpenStreetMap](https://www.openstreetmap.org/copyright)
|
||||
|
|
|
|||
|
|
@ -1,43 +1,28 @@
|
|||
## Sam Chance | Analytics Engineer | MSc Marine Biology | United Kingdom
|
||||
***contact@sjplab.com***
|
||||
# Sam Chance
|
||||
## Analytics Engineer
|
||||
|
||||
4 years experience working in the tech industry as a Data Analyst & Engineer for a geocoding firm in London. Strong educational background with two STEM degrees. Excellent communication skills with competence at articulating complex ideas to non-technical people.
|
||||
|
||||
## Experience
|
||||
### Growth Analyst / Analytics Engineer | What3Words | May 2020 to Apr 2024 (4 years)
|
||||
*Engineered data pipelines and managed geospatial data for geocoding company that serves 200k daily users*
|
||||
|
||||
- Engineered & implemented alerting system from scratch to detect anomalous behaviour in partner API usage, resulting in 30+ actionable alerts per month & facilitating service improvements to paying customers
|
||||
- Developed ETL orchestration platform using Airflow & DBT to automate 40+ DAGS & 140+ data models
|
||||
- Lead GIS project to map and classify company spatial data using OpenStreetMaps
|
||||
- Migrated data analytics from Firebase to Mixpanel, enhancing self-serviceability of analytics & reducing work-load of Data Team by 60% from ad-hoc requests
|
||||
- Architected 80% of company KPI dashboard used by external stakeholders & potential investors
|
||||
- Designed & implemented QA tool for Product Team to monitor potential issues in new app releases
|
||||
- Promoted to Analytics Engineer after starting as a Growth Analyst
|
||||
Analytics Engineer with over 4 years experience in designing and implementing data models, pipelines, and analytics solutions. Proficient in SQL, data warehousing, dbt and building dashboards for company metrics.
|
||||
|
||||
## Skills
|
||||
- **Data Warehousing**: BigQuery | Postgres
|
||||
- **Data Analysis & Modelling**: Python (pandas, numpy) & R (dplyr) | DBT | SQL | Data Pipeline Design & Development
|
||||
- **Data Visualization**: matplotlib | ggplot | Looker Studio | Apache ECharts
|
||||
- **Programming Languages**: *proficient*: SQL, Python, Bash, R | *learning*: JavaScript
|
||||
- **Workflow Orchestration**: Apache Airflow | Prefect
|
||||
- **Sysadmin**: Linux | Networking | SSH | Reverse Proxy (Nginx) | API Management | Containerization (Docker, LXC) | Nixos
|
||||
- **Geographic Information Systems**: ArcGIS | QGIS | PostGIS | GDAL | OpenStreetMaps
|
||||
- **Code Collaboration & Version Control**: Git, Github, Self Hosted Gitea
|
||||
- **CLI wizard**: Scripting (Bash, Python) | GNU Coreutils | Neovim
|
||||
- **Web Development**: Hugo | JavaScript/HTML/CSS | Apache ECharts
|
||||
- **Personal**: Full UK Driving License | Flexible Working | Remote Working | Autonomous Worker
|
||||
- SQL
|
||||
- Python
|
||||
- Scripting/Programming
|
||||
- Data Warehousing
|
||||
- Data Modelling
|
||||
- DBT
|
||||
- Data and Statistical Analysis
|
||||
- System Administration
|
||||
|
||||
## Work Experience
|
||||
### Growth Analyst
|
||||
What3Words - May 2020 to Feb 2022
|
||||
|
||||
### Analytics Engineer
|
||||
What3Words - Feb 2022 to Apr 2024
|
||||
|
||||
## Education
|
||||
### MSc Marine Biology | Bangor University | 1 year
|
||||
*Advanced theoretical & practical training with focus on GIS skills*
|
||||
### MSc Marine Biology
|
||||
Bangor University - 2017 to 2018
|
||||
|
||||
- **Thesis**: "Quantifying the Effectiveness of Indonesia's Protected Areas at Preventing Mangrove Deforestation"
|
||||
* A GIS project that involved statistical modelling of satellite data using ArcGIS and R
|
||||
|
||||
### BSc Marine Biology & Zoology | Bangor University | 3 years
|
||||
|
||||
## Personal Websites
|
||||
- **https://semitamaps.com**: A free high-quality map printing service using self-hosted vector tiles generated from OpenStreetMaps and visualised with Maplibre.
|
||||
- **https://baseddata.io**: A site where I publish analytical content based on open data. Still a work in progress.
|
||||
- **https://git.bitlab21.com**: Self-hosted Gitea instance where I host my code.
|
||||
### BSc Marine Biology & Zoology
|
||||
Bangor University - 2008 to 2011
|
||||
|
|
|
|||
|
|
@ -11,10 +11,7 @@ tags: ["QGIS", "SRTM", "DEM", "Raster", "download"]
|
|||
{{< figure src="/pics/blog/batch-import-postgis-rasters/singapore-final.webp" width="300">}}
|
||||
Download the Digital Elevation Model featured in [this](/blog/batch-import-postgis-rasters/) blog.
|
||||
|
||||
{{< download-data src="/singapore-srtm-dem.tif" name="singapore-srtm-dem.tif" >}} (9.6MB)
|
||||
{{< download-data src="http://localhost:5000/download/singapore-srtm-dem.tif" name="singapore-srtm-dem.tif" >}}
|
||||
|
||||
#### Citations
|
||||
NASA Shuttle Radar Topography Mission (SRTM)(2013). Shuttle Radar Topography Mission (SRTM) Global. Distributed by OpenTopography. https://doi.org/10.5069/G9445JDF. Accessed: 2024-08-06
|
||||
|
||||
#### Attribution and License
|
||||
© [OpenStreetMap](https://www.openstreetmap.org/copyright)
|
||||
|
|
|
|||
|
|
@ -1,16 +0,0 @@
|
|||
---
|
||||
title: "Bitcoin Price USD"
|
||||
date: 2023-07-15T01:00:57+01:00
|
||||
author:
|
||||
name: "Sam Chance"
|
||||
header_image: "/pics/charts/price.webp"
|
||||
summary: "Daily bitcoin price. Data is obtained from CoinGecko using their public API."
|
||||
tags: ["Bitcoin", "Stats"]
|
||||
jsScripts: [ "/js/lib/chart-params.js", "/js/lib/helper-functions.js", "/js/lib/echarts.min.js", "/js/lib/sorttable.js", "/js/content/bitcoin-price.js"]
|
||||
---
|
||||
|
||||
Daily bitcoin price. Data is obtained from [CoinGecko](https://www.coingecko.com/) using their
|
||||
public API.
|
||||
|
||||
{{< dropdown_filter id="days_ago_dropdown_filter" >}}
|
||||
{{< chart id = "bitcoin-price-chart" >}}
|
||||
|
|
@ -5,12 +5,12 @@ author:
|
|||
name: "Sam Chance"
|
||||
header_image: "/pics/charts/feerate-percentile.webp"
|
||||
summary: "Bar chart showing historical median daily feerate percentiles for the Bitcoin protocol."
|
||||
chart: "/js/feerate_percentile.js"
|
||||
tags: ["Bitcoin", "Stats"]
|
||||
jsScripts: [ "/js/lib/chart-params.js", "/js/lib/helper-functions.js", "/js/lib/echarts.min.js", "/js/lib/sorttable.js", "/js/content/feerate-percentile.js"]
|
||||
---
|
||||
|
||||
This chart shows historical median daily feerate percentiles for the Bitcoin
|
||||
protocol.
|
||||
{{< dropdown_filter id="days_ago_dropdown_filter" >}}
|
||||
protocol. The data represents a daily aggregation of all blocks. This data was
|
||||
extracted from the blockchain using the `bitcoin-cli getblockstats` command.
|
||||
|
||||
{{< chart id="feerate-percentiles-chart" >}}
|
||||
{{< chart src="/js/feerate-percentile.js" >}}
|
||||
|
|
@ -1,23 +0,0 @@
|
|||
---
|
||||
title: "Global Bitcoin Business Growth"
|
||||
date: 2024-04-04T09:16:33+01:00
|
||||
author:
|
||||
name: "Sam Chance"
|
||||
header_image: "/pics/charts/growth.webp"
|
||||
summary: "This analysis uses OpenStreetMaps data to chart the yearly growth of bitcoin-accepting businesses worldwide."
|
||||
tags: ["Bitcoin", "Stats", "OpenStreetMaps"]
|
||||
jsScripts: [ "/js/lib/chart-params.js", "/js/lib/helper-functions.js", "/js/lib/echarts.min.js", "/js/lib/sorttable.js", "/js/content/global-bitcoin-business-growth.js"]
|
||||
---
|
||||
|
||||
The table below illustrates growth of businesses worldwide that accept bitcoin as payment for products or services. The accompanying chart displays the cumulative number of bitcoin-accepting businesses for the countries selected in the table. The data is sourced from OpenStreetMaps.
|
||||
|
||||
You can select the period of interest from the drop-down, which updates the values in the table. The table shows the ***Previous*** value, which was the number of businesses `n days ago` specified in the drop-down. The ***Current*** value is the number of businesses as of the latest update. The table also shows the ***Absolute Difference***, and the ***Percent Difference*** between these periods.
|
||||
|
||||
<br/>
|
||||
{{< dropdown_filter id="days_ago_dropdown_filter" >}}
|
||||
|
||||
{{< table id="bitcoin-business-growth-table" >}}
|
||||
{{< chart id="bitcoin-business-growth-chart" >}}
|
||||
|
||||
#### Attribution
|
||||
Data obtained from © [OpenStreetMap](https://www.openstreetmap.org/copyright)
|
||||
20
content/data-lab/global-business-growth.md
Normal file
20
content/data-lab/global-business-growth.md
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
---
|
||||
title: "Global Bitcoin Business Growth"
|
||||
date: 2024-04-04T09:16:33+01:00
|
||||
author:
|
||||
name: "Sam Chance"
|
||||
header_image: "/pics/charts/growth.webp"
|
||||
summary: "This analysis uses OpenStreetMaps data to chart the yearly growth of bitcoin-accepting businesses worldwide."
|
||||
tags: ["Bitcoin", "Stats", "OpenStreetMaps"]
|
||||
---
|
||||
|
||||
The table below illustrates growth of businesses worldwide that accept bitcoin as payment for products or services. The accompanying chart displays the yearly cumulative number of bitcoin-accepting businesses for the countries selected in the table. The data is sourced from OpenStreetMaps and is updated approximately every 2 hours.
|
||||
|
||||
You can select the growth period of interest from the drop-down, which updates the values in the table. The table shows the ***Previous*** value, which was the number of businesses *n* days ago specified in the drop-down. The ***Current*** value is the number of businesses as of the latest update. The table also shows the ***Absolute Difference***, and the ***Percent Difference*** between this period.
|
||||
|
||||
The chart always reflects the countries selected in the table. There is a zoom feature on the chart to focus in on a period of interest.
|
||||
|
||||
<br/>
|
||||
Select growth period: {{< dropdown-filter id=cumulative_period_type select="365 day,28 day,7 day,1 day" >}}
|
||||
{{< chart src="/js/bitcoin-business-growth-chart.js" >}}
|
||||
{{< table src="/js/bitcoin-business-growth-table.js" >}}
|
||||
|
|
@ -6,10 +6,8 @@ author:
|
|||
header_image: "/pics/charts/hashrate.webp"
|
||||
summary: "Timeseries chart showing the Bitcoin network hashrate and difficulty."
|
||||
tags: ["Bitcoin", "Stats", "Hashrate"]
|
||||
jsScripts: [ "/js/lib/chart-params.js", "/js/lib/helper-functions.js", "/js/lib/echarts.min.js", "/js/lib/sorttable.js", "/js/content/hashrate.js"]
|
||||
---
|
||||
|
||||
This chart shows the estimated hashrate and difficulty of the Bitcoin network, accompanied by the 28-day moving average. This information is extracted from a bitcoin node using the `bitcoin-cli getnetworkhashps` command.
|
||||
The estimated hashrate and difficulty of the Bitcoin network, accompanied by the 28-day moving average.
|
||||
|
||||
{{< dropdown_filter id="days_ago_dropdown_filter" >}}
|
||||
{{< chart id = "hashrate-chart" >}}
|
||||
{{< chart src="/js/hashrate.js" >}}
|
||||
|
|
|
|||
|
|
@ -7,11 +7,8 @@ summary: "Miner rewards"
|
|||
header_image: "/pics/charts/rewards.webp"
|
||||
draft: false
|
||||
tags: ["Bitcoin", "Stats"]
|
||||
jsScripts: [ "/js/lib/chart-params.js", "/js/lib/helper-functions.js", "/js/lib/echarts.min.js", "/js/lib/sorttable.js", "/js/content/miner-rewards.js"]
|
||||
---
|
||||
|
||||
The following chart shows daily miner revenue in USD for the period selected in the dropdown. This information is based on the sum of bitcoin mined each day (i.e. the block-subsidy) plus the transaction fees. Price data is obtained from [CoinGecko](https://www.coingecko.com/).
|
||||
Total daily aggregated miner income denominated in USD for that day.
|
||||
|
||||
{{< dropdown_filter id="days_ago_dropdown_filter" >}}
|
||||
|
||||
{{< chart id="miner-rewards-chart" >}}
|
||||
{{< chart src="/js/miner-rewards.js" >}}
|
||||
|
|
|
|||
16
content/data-lab/price.md
Normal file
16
content/data-lab/price.md
Normal file
|
|
@ -0,0 +1,16 @@
|
|||
---
|
||||
title: "Bitcoin Price USD"
|
||||
date: 2023-07-15T01:00:57+01:00
|
||||
author:
|
||||
name: "Sam Chance"
|
||||
header_image: "/pics/charts/price.webp"
|
||||
summary: "Daily bitcoin price. Data is obtained from CoinGecko using their public API."
|
||||
tags: ["Bitcoin", "Stats"]
|
||||
---
|
||||
|
||||
Daily bitcoin price. Data is obtained from CoinGecko using their
|
||||
public API.
|
||||
|
||||
{{< bitcoin-price >}}
|
||||
|
||||
{{< chart src="/js/bitcoin-price.js" >}}
|
||||
|
|
@ -1,16 +0,0 @@
|
|||
---
|
||||
title: "Global Protected Mangroves"
|
||||
date: 2024-09-04T16:00:57+01:00
|
||||
author:
|
||||
name: "Sam Chance"
|
||||
header_image: "/pics/charts/price.webp"
|
||||
summary: "Daily bitcoin price. Data is obtained from CoinGecko using their public API."
|
||||
tags: ["Bitcoin", "Stats"]
|
||||
script: "/js/mangrove-map.js"
|
||||
draft: true
|
||||
---
|
||||
|
||||
{{< 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" targets="mangrove-country-timeseries-chart" >}}
|
||||
|
||||
{{< chart id="mangrove-country-timeseries-chart" endpoint="mangrove_country_timeseries" chartType="bar" xAxisField="year" yAxisField="total_n_pixels" scaleChart=true xAxisType="category" >}}
|
||||
|
||||
|
|
@ -1,21 +1,3 @@
|
|||
# License
|
||||
|
||||
Where possible, all original work on this site that has been created and published by me is licensed using [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).
|
||||
|
||||
You are free to:
|
||||
|
||||
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
|
||||
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
|
||||
|
||||
The licensor cannot revoke these freedoms as long as you follow the license terms.
|
||||
|
||||
Under the following terms:
|
||||
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
|
||||
- ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
|
||||
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
|
||||
|
||||
Notices:
|
||||
|
||||
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
|
||||
|
||||
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
|
||||
All work on this site is licensed using [unlicense](https://unlicense.org/). This effectively means all of the content hosted on https://bitlab21.com and in the bitlab21.com repository at https://git.bitlab21.com/sam/bitlab21.com is in the public domain. You can use this material as you wish. Attribution is appreciated, but not required.
|
||||
|
|
|
|||
|
|
@ -1,9 +1,6 @@
|
|||
baseURL = 'https://baseddata.io'
|
||||
baseURL = 'https://baseddate.io/'
|
||||
languageCode = 'en-gb'
|
||||
title = 'Based Data'
|
||||
|
||||
[params]
|
||||
apiURL = 'https://api.baseddata.io'
|
||||
title = 'baseddata.io'
|
||||
|
||||
[markup.highlight]
|
||||
pygmentsUseClasses = false
|
||||
|
|
|
|||
|
|
@ -1,11 +1,5 @@
|
|||
<!doctype html>
|
||||
<head>
|
||||
<script>
|
||||
const apiURL = "{{ .Site.Params.apiURL }}";
|
||||
</script>
|
||||
{{ partial "head.html" . }}
|
||||
</head>
|
||||
{{ template "partials/body.html" . }}
|
||||
{{ range .Params.jsScripts }}
|
||||
<script src="{{ . }}"></script>
|
||||
{{ end }}
|
||||
|
|
|
|||
|
|
@ -5,6 +5,3 @@
|
|||
{{ partial "footer.html" . }}
|
||||
</div>
|
||||
</body>
|
||||
{{ if .Params.script }}
|
||||
<script src="{{ .Params.script | absURL }}"></script>
|
||||
{{ end }}
|
||||
|
|
|
|||
8
layouts/partials/chart.html
Normal file
8
layouts/partials/chart.html
Normal file
|
|
@ -0,0 +1,8 @@
|
|||
<script src="https://cdn.jsdelivr.net/npm/echarts@5.5.1/dist/echarts.min.js"></script>
|
||||
<section class="chart-container">
|
||||
<div id="chart">
|
||||
<canvas id="{{ .id }}"></canvas>
|
||||
<script src="{{ .src }}"></script>
|
||||
</div>
|
||||
</section>
|
||||
<script src="/js/chart-params.js"></script>
|
||||
|
|
@ -1,9 +1,8 @@
|
|||
<footer>
|
||||
<div id="footer">
|
||||
<p>
|
||||
baseddata.io by Sam Chance. | Built with
|
||||
<a href="https://gohugo.io/">Hugo</a>
|
||||
| <a href="/license">License</a>
|
||||
Bitlab21.com by Sam Chance.
|
||||
<a href="/license">Uncopywrited.</a>
|
||||
</p>
|
||||
</div>
|
||||
</footer>
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
<header>
|
||||
<nav class="navbar" role="navigation">
|
||||
<div class="navbar__left">
|
||||
<a href="/"><strong>BASED DATA</strong></a>
|
||||
<a href="/"><strong>Based Data</strong></a>
|
||||
</div>
|
||||
<div class="navbar__right">
|
||||
<div class="navbar-links">{{ partial "navbarlinks.html" . }}</div>
|
||||
|
|
|
|||
2
layouts/partials/table.html
Normal file
2
layouts/partials/table.html
Normal file
|
|
@ -0,0 +1,2 @@
|
|||
<script src="{{ .src }}"></script>
|
||||
<table id="jsonTableContainer"></table>
|
||||
19
layouts/shortcodes/bitcoin-price.html
Normal file
19
layouts/shortcodes/bitcoin-price.html
Normal file
|
|
@ -0,0 +1,19 @@
|
|||
<!doctype html>
|
||||
<html>
|
||||
<body>
|
||||
<p id="price"></p>
|
||||
|
||||
<script>
|
||||
fetch("https://api.bitlab21.com/price")
|
||||
.then((response) => response.json())
|
||||
.then((data) => {
|
||||
var lastElement = data[data.length - 1];
|
||||
document.getElementById("price").innerHTML =
|
||||
`The current price is: <em>$ ${lastElement.price.toLocaleString()}</em> (${lastElement.date}) `;
|
||||
})
|
||||
.catch((error) => {
|
||||
console.error("Error:", error);
|
||||
});
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
|
|
@ -1,3 +1,2 @@
|
|||
<section class = 'chart-container' id="{{ .Get "id" }}-container">
|
||||
<div id="{{ .Get "id" }}" class="chart"></div>
|
||||
</section>
|
||||
{{ $id := .Get "src" | md5 }}
|
||||
{{ partial "chart.html" (dict "src" (.Get "src") "id" $id) }}
|
||||
|
|
|
|||
|
|
@ -5,12 +5,7 @@
|
|||
<script>
|
||||
async function downloadFile(url, name) {
|
||||
try {
|
||||
downloadUrl = `${"{{ .Site.Params.apiURL }}"}/download${url}`
|
||||
console.log("Downloading from url:",downloadUrl)
|
||||
const response = await fetch(downloadUrl);
|
||||
if (!response.ok) {
|
||||
throw new Error('Network response was not ok');
|
||||
}
|
||||
const response = await fetch(url);
|
||||
const blob = await response.blob();
|
||||
const link = document.createElement('a');
|
||||
link.href = URL.createObjectURL(blob);
|
||||
|
|
@ -18,7 +13,6 @@
|
|||
document.body.appendChild(link);
|
||||
link.click();
|
||||
document.body.removeChild(link);
|
||||
URL.revokeObjectURL(link.href); // Clean up the object URL
|
||||
} catch (error) {
|
||||
console.error('Error downloading the file:', error);
|
||||
}
|
||||
|
|
|
|||
7
layouts/shortcodes/dropdown-filter.html
Normal file
7
layouts/shortcodes/dropdown-filter.html
Normal file
|
|
@ -0,0 +1,7 @@
|
|||
<select id={{ .Get "id" }} class="dropdownFilter">
|
||||
{{ with .Get "select" }}
|
||||
{{ range $index, $element := split . "," }}
|
||||
<option value="{{ $element }}">{{ $element }}</option>
|
||||
{{ end }}
|
||||
</select>
|
||||
{{ end }}
|
||||
|
|
@ -1,4 +0,0 @@
|
|||
<div id="{{ .Get "id" }}-container" class="dropdown-filter-container">
|
||||
<select id="{{ .Get "id" }}" class="filter dropdown-filter">
|
||||
</select>
|
||||
</div>
|
||||
|
|
@ -1,9 +0,0 @@
|
|||
{{ if .Get "src" }}
|
||||
<script src="{{ .Get "src" }}"></script>
|
||||
{{ else }}
|
||||
<script id="{{ .Get " id" }}">
|
||||
window.addEventListener('DOMContentLoaded', (event) => {
|
||||
{{ .Inner | safeJS }}
|
||||
});
|
||||
</script>
|
||||
{{ end }}
|
||||
|
|
@ -1,15 +0,0 @@
|
|||
<script src="https://labs.geomatico.es/maplibre-cog-protocol/dist/index.js"></script>
|
||||
<script src="https://unpkg.com/maplibre-gl/dist/maplibre-gl.js"></script>
|
||||
<link
|
||||
rel="stylesheet"
|
||||
href="https://unpkg.com/maplibre-gl/dist/maplibre-gl.css"
|
||||
/>
|
||||
<section class="map-container">
|
||||
<div id="{{ .Get `id` }}" style="height: 400px"></div>
|
||||
<script>
|
||||
let map = new maplibregl.Map({
|
||||
container: "{{ .Get `id` }}",
|
||||
style: "{{ .Get `style` }}",
|
||||
});
|
||||
</script>
|
||||
</section>
|
||||
|
|
@ -1,3 +1,2 @@
|
|||
<section class = 'table-container' id = '{{ .Get "id" }}-container'>
|
||||
<div id="{{ .Get "id" }}" class="table"></div>
|
||||
</section>
|
||||
{{ $id := .Get "src" | md5 }}
|
||||
{{ partial "table.html" (dict "src" (.Get "src") "id" $id) }}
|
||||
|
|
|
|||
|
|
@ -6,39 +6,24 @@
|
|||
</div>
|
||||
<div class="article-card-container">
|
||||
{{ range.Pages }}
|
||||
<div class="article-card">
|
||||
<a class="article-card" href="{{ .RelPermalink }}">
|
||||
<div class="article-card-info">
|
||||
<div class="article-card-thumb">
|
||||
<a href="{{ .RelPermalink }}">
|
||||
<img
|
||||
class="article-card-thumbnail"
|
||||
src="{{ .Params.header_image }}"
|
||||
/>
|
||||
</a>
|
||||
<img
|
||||
class="article-card-thumbnail"
|
||||
src="{{ .Params.header_image }}"
|
||||
/>
|
||||
</div>
|
||||
<div class="article-card-summary">
|
||||
{{ template "partials/get-tags.html" . }}
|
||||
<a href="{{ .RelPermalink }}">
|
||||
<h3><strong>{{ .Title | safeHTML }}</strong></h3>
|
||||
</a>
|
||||
<p>
|
||||
{{ .Summary | safeHTML }}
|
||||
<i class="reading-time"
|
||||
>({{ .ReadingTime }} minute{{ if (ne .ReadingTime 1) }}s{{ end
|
||||
}})</i
|
||||
>
|
||||
</p>
|
||||
|
||||
<h3><strong>{{ .Title | safeHTML }}</strong></h3>
|
||||
<p>{{ .Summary | safeHTML }}</p>
|
||||
<br />
|
||||
<div class="article-card-author-row">
|
||||
{{ with .Params.author }}
|
||||
<strong><p class="author-name">{{ .name }}</p></strong>
|
||||
{{ end }}
|
||||
<time>{{ .Date.Format "January 2, 2006" }}</time>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</a>
|
||||
{{ end }}
|
||||
</div>
|
||||
</div>
|
||||
|
|
|
|||
|
|
@ -1,23 +0,0 @@
|
|||
[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-binary = "^2.9.10"
|
||||
load-dotenv = "^0.1.0"
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
32
shell.nix
32
shell.nix
|
|
@ -1,28 +1,18 @@
|
|||
{pkgs ? import <nixpkgs> {}}:
|
||||
{ pkgs ? import <nixpkgs> { } }:
|
||||
|
||||
pkgs.mkShell
|
||||
{
|
||||
nativeBuildInputs = with pkgs; [
|
||||
python312Packages.flask
|
||||
python312Packages.flask-cors
|
||||
python312Packages.requests
|
||||
python312Packages.pandas
|
||||
python312Packages.orjson
|
||||
hugo
|
||||
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" ];
|
||||
then
|
||||
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 && uvicorn main:app --reload" C-m
|
||||
echo "Baseddata running in dev tmux shell"
|
||||
fi
|
||||
'';
|
||||
shellHook = ''
|
||||
${pkgs.cowsay}/bin/cowsay "Welcome to the bitlab development environment!" | ${pkgs.lolcat}/bin/lolcat
|
||||
'';
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -1,21 +1,19 @@
|
|||
/* Charts */
|
||||
.chart-container {
|
||||
.chart-flex-container {
|
||||
display: flex;
|
||||
/* height: 600px; */
|
||||
aspect-ratio: 2 / 1;
|
||||
}
|
||||
|
||||
.chart {
|
||||
display: flex;
|
||||
height: 100%;
|
||||
.chart-flex-container article {
|
||||
flex: 1;
|
||||
}
|
||||
|
||||
#chart {
|
||||
width: 100%;
|
||||
aspect-ratio: 16 / 9;
|
||||
}
|
||||
|
||||
@media (max-width: 600px) {
|
||||
.chart-container {
|
||||
margin-top: 20px;
|
||||
display: flex;
|
||||
/* height: 600px; */
|
||||
aspect-ratio: 1 / 1;
|
||||
}
|
||||
|
||||
justify-content: center;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -52,7 +52,6 @@
|
|||
|
||||
.navbar__left a {
|
||||
text-decoration: none !important;
|
||||
font-weight: 540;
|
||||
color: var(--text-color) !important;
|
||||
font-size: 22px;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -70,18 +70,17 @@
|
|||
|
||||
/* Style for WebKit browsers (Chrome, Safari, etc.) */
|
||||
*::-webkit-scrollbar {
|
||||
height: 2px;
|
||||
border-radius: 1px;
|
||||
height: 5px;
|
||||
border-radius: 6px;
|
||||
background: #1f1f28;
|
||||
}
|
||||
|
||||
*::-webkit-scrollbar-thumb {
|
||||
border-radius: 2px;
|
||||
border-radius: 6px;
|
||||
background: #585653;
|
||||
}
|
||||
|
||||
*::-webkit-scrollbar-thumb:hover {
|
||||
height: 2px;
|
||||
background: #454445; /* Background color on hover */
|
||||
}
|
||||
|
||||
|
|
@ -134,10 +133,7 @@ footer {
|
|||
color: var(--text-color);
|
||||
padding: 20px;
|
||||
height: 10vh;
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
border-top: var(--border-width) var(--border-style) var(--border-color);
|
||||
}
|
||||
|
||||
#footer {
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,11 +1,6 @@
|
|||
/* Tables */
|
||||
.jsonTableContainer {
|
||||
display: flex;
|
||||
overflow-y: auto;
|
||||
}
|
||||
|
||||
table.sortable th:not(.sorttable_sorted):not(.sorttable_sorted_reverse):not(.sorttable_nosort):after {
|
||||
content: " \25B4\25BE"
|
||||
#jsonTableContainer {
|
||||
max-width: 150%;
|
||||
}
|
||||
|
||||
table {
|
||||
|
|
@ -28,13 +23,9 @@ td {
|
|||
max-width: 90px;
|
||||
font-size: var(--table-row-font-size);
|
||||
}
|
||||
#scrollable:hover {
|
||||
scrollbar-width: thin;
|
||||
}
|
||||
|
||||
@media only screen and (max-width: 800px) {
|
||||
#scrollable {
|
||||
scrollbar-width: thin;
|
||||
max-width: 90px;
|
||||
max-height: 100%;
|
||||
margin: 0;
|
||||
|
|
@ -53,10 +44,3 @@ tr:nth-child(odd) {
|
|||
background-color: var(--table-odd-row-bg-color);
|
||||
font-size: var(--table-row-font-size);
|
||||
}
|
||||
tr:hover {
|
||||
background-color: #f5f5f5;
|
||||
}
|
||||
|
||||
tr.selected {
|
||||
background-color: #d1ecf1;
|
||||
}
|
||||
|
|
|
|||
98
static/js/bitcoin-business-growth-chart.js
Normal file
98
static/js/bitcoin-business-growth-chart.js
Normal file
|
|
@ -0,0 +1,98 @@
|
|||
let chartData = [];
|
||||
let myChart;
|
||||
|
||||
async function fetchDataForChart(str) {
|
||||
try {
|
||||
const apiEndpoint = `https://api.bitlab21.com/bitcoin_business_growth_by_country?cumulative_period_type=365 day&countries=${str}`;
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const fetchedData = await response.json();
|
||||
const newData = fetchedData.reduce((acc, item) => {
|
||||
const objectId = item.country_name;
|
||||
if (!acc[objectId]) {
|
||||
acc[objectId] = [];
|
||||
}
|
||||
acc[objectId].push([item.date, item.cumulative_current_value]);
|
||||
return acc;
|
||||
}, {});
|
||||
chartData = { ...chartData, ...newData };
|
||||
updateChart();
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function updateChart() {
|
||||
let chartDataMap = new Map();
|
||||
for (let objectId in chartData) {
|
||||
chartDataMap.set(objectId, chartData[objectId]);
|
||||
}
|
||||
option = {
|
||||
backgroundColor: backgroundColor,
|
||||
grid: grid,
|
||||
tooltip: tooltip,
|
||||
toolbox: toolboxParams,
|
||||
xAxis: {
|
||||
axisTick: axisTick,
|
||||
axisLabel: axisLabel,
|
||||
axisLine: axisLine,
|
||||
type: "time",
|
||||
},
|
||||
yAxis: {
|
||||
axisTick: axisTick,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: {
|
||||
fontSize: 12 * fontScale,
|
||||
color: textColor,
|
||||
formatter(value, index) {
|
||||
return nFormatter(value, 2);
|
||||
},
|
||||
},
|
||||
axisLine: axisLine,
|
||||
},
|
||||
|
||||
series: Array.from(chartDataMap.entries()).map(([name, data]) => ({
|
||||
name,
|
||||
type: "line",
|
||||
data,
|
||||
showSymbol: false,
|
||||
})),
|
||||
};
|
||||
myChart.setOption(option, true);
|
||||
}
|
||||
|
||||
function handleCheckboxChange(event) {
|
||||
if (event.target.type === "checkbox") {
|
||||
const boxChecked = event.target.checked;
|
||||
const boxId = event.target.id;
|
||||
// Remove unchecked boxes
|
||||
if (boxChecked === false) {
|
||||
delete chartData[boxId];
|
||||
updateChart();
|
||||
// Add checked boxes
|
||||
} else {
|
||||
fetchDataForChart(boxId);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
document.addEventListener("reloadTable", () => {
|
||||
myChart = echarts.init(document.getElementById("chart"));
|
||||
jsonTableCheckedBoxes = document.querySelectorAll(
|
||||
'#jsonTableContainer input[type="checkbox"]:checked',
|
||||
);
|
||||
const checkedBoxes = Array.from(jsonTableCheckedBoxes).map(
|
||||
(checkbox) => checkbox.id,
|
||||
);
|
||||
const str = checkedBoxes.join(",");
|
||||
chartData = [];
|
||||
fetchDataForChart(str);
|
||||
|
||||
jsonTable = document.getElementById("jsonTableContainer");
|
||||
jsonTable.removeEventListener("change", handleCheckboxChange);
|
||||
jsonTable.addEventListener("change", handleCheckboxChange);
|
||||
});
|
||||
98
static/js/bitcoin-business-growth-table.js
Normal file
98
static/js/bitcoin-business-growth-table.js
Normal file
|
|
@ -0,0 +1,98 @@
|
|||
async function fetchDataForTable() {
|
||||
try {
|
||||
const dropdown = document.querySelector(".dropdownFilter");
|
||||
let selectedIndex = dropdown.selectedIndex;
|
||||
let selectedValue = dropdown.options[selectedIndex].value;
|
||||
const apiEndpoint =
|
||||
"https://api.bitlab21.com/bitcoin_business_growth_by_country?latest_date=true";
|
||||
const response = await fetch(
|
||||
apiEndpoint + `&cumulative_period_type=${selectedValue}`,
|
||||
);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const fetchedData = await response.json();
|
||||
data = fetchedData;
|
||||
createTable(data);
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function createTable(data) {
|
||||
const jsonTableContainer = document.getElementById("jsonTableContainer");
|
||||
jsonTableContainer.innerHTML = "";
|
||||
const table = document.createElement("table");
|
||||
let checkedBoxes = [];
|
||||
const thead = document.createElement("thead");
|
||||
const headerRow = document.createElement("tr");
|
||||
tableHeaders = [
|
||||
"Select",
|
||||
"Country",
|
||||
"Previous #",
|
||||
"Current #",
|
||||
"Diff",
|
||||
"% Diff",
|
||||
];
|
||||
tableHeaders.forEach((header) => {
|
||||
const th = document.createElement("th");
|
||||
th.textContent = header;
|
||||
headerRow.appendChild(th);
|
||||
});
|
||||
thead.appendChild(headerRow);
|
||||
table.appendChild(thead);
|
||||
const tbody = document.createElement("tbody");
|
||||
filteredData = data.filter((item) => 1 === 1);
|
||||
filteredData.sort((a, b) => {
|
||||
const sortField = "diff";
|
||||
return Math.abs(b[sortField]) - Math.abs(a[sortField]);
|
||||
});
|
||||
filteredData.forEach((row, index) => {
|
||||
const tr = document.createElement("tr");
|
||||
const checkbox = document.createElement("input");
|
||||
checkbox.type = "checkbox";
|
||||
checkbox.checked = index < 1;
|
||||
checkbox.addEventListener("change", function () {
|
||||
if (this.checked) {
|
||||
checkedBoxes.push(row["country_name"]);
|
||||
} else {
|
||||
checkedBoxes = checkedBoxes.filter((id) => id !== row["country_name"]);
|
||||
}
|
||||
});
|
||||
checkbox.id = row["country_name"];
|
||||
tr.appendChild(document.createElement("td")).append(checkbox);
|
||||
columnNames = [
|
||||
"country_name",
|
||||
"cumulative_previous_value",
|
||||
"cumulative_current_value",
|
||||
"diff",
|
||||
"pct_diff",
|
||||
];
|
||||
columnNames.forEach((columnName) => {
|
||||
const td = document.createElement("td");
|
||||
const div = document.createElement("div");
|
||||
div.id = "scrollable";
|
||||
div.textContent = row[columnName];
|
||||
td.appendChild(div);
|
||||
tr.appendChild(td);
|
||||
});
|
||||
tbody.appendChild(tr);
|
||||
if (checkbox.checked) {
|
||||
checkedBoxes.push(row["country_name"]);
|
||||
}
|
||||
});
|
||||
table.appendChild(tbody);
|
||||
const tableContainer = document.getElementById("jsonTableContainer");
|
||||
tableContainer.appendChild(table);
|
||||
tableContainer.dispatchEvent(
|
||||
new CustomEvent("reloadTable", { bubbles: true }),
|
||||
);
|
||||
}
|
||||
|
||||
window.onload = () => {
|
||||
const dropdown = document.querySelector(".dropdownFilter");
|
||||
fetchDataForTable();
|
||||
dropdown.addEventListener("change", () => {
|
||||
fetchDataForTable();
|
||||
});
|
||||
};
|
||||
65
static/js/bitcoin-price.js
Normal file
65
static/js/bitcoin-price.js
Normal file
|
|
@ -0,0 +1,65 @@
|
|||
let dataArr = [];
|
||||
const myChart = echarts.init(document.getElementById("chart"));
|
||||
|
||||
async function fetchDataForChart() {
|
||||
try {
|
||||
const apiEndpoint = "https://api.bitlab21.com/get_json/final__price.json";
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const dataArr = await response.json();
|
||||
initEchart(dataArr);
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function initEchart(dataArr) {
|
||||
const option = {
|
||||
backgroundColor: backgroundColor,
|
||||
tooltip: tooltip,
|
||||
toolbox: toolboxParams,
|
||||
xAxis: {
|
||||
data: dataArr.map((row) => row.date),
|
||||
axisTick: axisTick,
|
||||
axisLabel: axisLabel,
|
||||
axisLine: axisLine,
|
||||
},
|
||||
grid: grid,
|
||||
dataZoom: dataZoom(),
|
||||
yAxis: [
|
||||
{
|
||||
type: "value",
|
||||
name: "Price (USD)",
|
||||
nameGap: 30,
|
||||
nameLocation: "middle",
|
||||
nameTextStyle: textStyleMain,
|
||||
position: "left",
|
||||
alignTicks: true,
|
||||
axisTick: axisTick,
|
||||
axisLine: axisLine,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: {
|
||||
...axisLabel,
|
||||
formatter(value, index) {
|
||||
return nFormatter(value, 0);
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
series: [
|
||||
{
|
||||
type: "line",
|
||||
name: "Price (USD)",
|
||||
data: dataArr.map((row) => row.price),
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
myChart.setOption(option);
|
||||
}
|
||||
|
||||
fetchDataForChart();
|
||||
|
|
@ -31,7 +31,7 @@ const toolboxParams = {
|
|||
dataZoom: {
|
||||
yAxisIndex: "none",
|
||||
},
|
||||
dataView: {},
|
||||
restore: {},
|
||||
saveAsImage: {
|
||||
pixelRatio: 2,
|
||||
},
|
||||
|
|
@ -73,16 +73,39 @@ const yaxisTextStyle2 = {
|
|||
color: textColor,
|
||||
};
|
||||
|
||||
function dataZoom() {
|
||||
function dataZoom(start = 90, end = 100, bottom = 15, height = 15) {
|
||||
const dataZoom = [
|
||||
{
|
||||
type: "inside",
|
||||
start: start,
|
||||
end: end,
|
||||
bottom: bottom,
|
||||
height: height,
|
||||
},
|
||||
];
|
||||
|
||||
return dataZoom;
|
||||
}
|
||||
|
||||
function nFormatter(value, digits) {
|
||||
const lookup = [
|
||||
{ value: 1, symbol: "" },
|
||||
{ value: 1e3, symbol: "k" },
|
||||
{ value: 1e6, symbol: "M" },
|
||||
{ value: 1e9, symbol: "G" },
|
||||
{ value: 1e12, symbol: "T" },
|
||||
{ value: 1e15, symbol: "P" },
|
||||
{ value: 1e18, symbol: "E" },
|
||||
];
|
||||
const rx = /\.0+$|(\.[0-9]*[1-9])0+$/;
|
||||
const item = lookup
|
||||
.slice()
|
||||
.reverse()
|
||||
.find((item) => value >= item.value);
|
||||
return item
|
||||
? (value / item.value).toFixed(digits).replace(rx, "$1") + item.symbol
|
||||
: "0";
|
||||
}
|
||||
|
||||
window.addEventListener("resize", function () {
|
||||
if (myChart != null && myChart != undefined) {
|
||||
myChart.resize();
|
||||
|
|
@ -1,93 +0,0 @@
|
|||
function createChart(
|
||||
chart,
|
||||
endpoint,
|
||||
xAxisType,
|
||||
scaleChart = false,
|
||||
) {
|
||||
async function fetchDataForChart(query) {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/${endpoint}?${query}`;
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const chartData = await response.json();
|
||||
console.log(chartData)
|
||||
updateChart(chartData);
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function updateChart(chartData) {
|
||||
var option = {
|
||||
tooltip: {
|
||||
...tooltip,
|
||||
},
|
||||
xAxis: {
|
||||
type: xAxisType,
|
||||
data: chartData.map((item) => item.date),
|
||||
},
|
||||
yAxis: [
|
||||
{
|
||||
type: "value",
|
||||
name: "Price (USD)",
|
||||
nameGap: 30,
|
||||
nameLocation: "middle",
|
||||
nameTextStyle: textStyleMain,
|
||||
position: "left",
|
||||
alignTicks: true,
|
||||
axisTick: axisTick,
|
||||
axisLine: axisLine,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: {
|
||||
...axisLabel,
|
||||
formatter(value, index) {
|
||||
return nFormatter(value, 0);
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
series: [
|
||||
{
|
||||
type: "line",
|
||||
name: "Price (USD)",
|
||||
data: chartData.map((row) => row.price),
|
||||
},
|
||||
],
|
||||
};
|
||||
chart.setOption(option, true);
|
||||
}
|
||||
|
||||
// listen for filter events for this target
|
||||
document.addEventListener("filterChange", function(event) {
|
||||
eventDetail = event.detail;
|
||||
if (eventDetail.filterActions.includes("refresh")) {
|
||||
chartData = [];
|
||||
query = queryConstructor();
|
||||
fetchDataForChart(query);
|
||||
updateChart(chartData);
|
||||
}
|
||||
});
|
||||
|
||||
let query = queryConstructor();
|
||||
fetchDataForChart(query);
|
||||
}
|
||||
|
||||
document.addEventListener("DOMContentLoaded", function() {
|
||||
chartData = [];
|
||||
let chartDom = document.getElementById("bitcoin-price-chart");
|
||||
let myChart = echarts.init(chartDom);
|
||||
|
||||
const filterPeriods = { "7 day": 7, "28 day": 28, "365 day": 365, "2 years": 730, "5 years": 1826, "10 years": 3652, "all time": 10000 };
|
||||
dropDownFilter("days_ago_dropdown_filter", "days_ago", ["bitcoin-price-chart"], filterPeriods, "365 day")
|
||||
|
||||
createChart(
|
||||
chart = myChart,
|
||||
endpoint = "bitcoin_price_timeseries",
|
||||
xAxisType = "category",
|
||||
);
|
||||
});
|
||||
|
||||
|
|
@ -1,106 +0,0 @@
|
|||
function createChart(
|
||||
chart,
|
||||
endpoint,
|
||||
xAxisType,
|
||||
scaleChart = false,
|
||||
) {
|
||||
async function fetchDataForChart(query) {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/${endpoint}?${query}`;
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const chartData = await response.json();
|
||||
console.log(chartData)
|
||||
updateChart(chartData);
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function updateChart(chartData) {
|
||||
|
||||
var option = {
|
||||
tooltip: {
|
||||
...tooltip,
|
||||
},
|
||||
xAxis: {
|
||||
type: xAxisType,
|
||||
data: chartData.map((item) => item.date),
|
||||
},
|
||||
yAxis: {
|
||||
scale: scaleChart,
|
||||
type: "value",
|
||||
},
|
||||
series: [
|
||||
{
|
||||
type: "bar",
|
||||
stack: "value",
|
||||
name: "10th",
|
||||
barCategoryGap: "0%",
|
||||
data: chartData.map((row) => row.feerate_10th),
|
||||
},
|
||||
{
|
||||
type: "bar",
|
||||
stack: "value",
|
||||
name: "25th",
|
||||
barCategoryGap: "0%",
|
||||
data: chartData.map((row) => row.feerate_25th),
|
||||
},
|
||||
{
|
||||
type: "bar",
|
||||
stack: "value",
|
||||
name: "50th",
|
||||
barCategoryGap: "0%",
|
||||
data: chartData.map((row) => row.feerate_50th),
|
||||
},
|
||||
{
|
||||
type: "bar",
|
||||
stack: "value",
|
||||
name: "75th",
|
||||
barCategoryGap: "0%",
|
||||
data: chartData.map((row) => row.feerate_75th),
|
||||
},
|
||||
{
|
||||
type: "bar",
|
||||
stack: "value",
|
||||
name: "90th",
|
||||
barCategoryGap: "0%",
|
||||
data: chartData.map((row) => row.feerate_90th),
|
||||
},
|
||||
],
|
||||
};
|
||||
chart.setOption(option, true);
|
||||
}
|
||||
|
||||
// listen for filter events for this target
|
||||
document.addEventListener("filterChange", function(event) {
|
||||
eventDetail = event.detail;
|
||||
if (eventDetail.filterActions.includes("refresh")) {
|
||||
chartData = [];
|
||||
query = queryConstructor();
|
||||
fetchDataForChart(query);
|
||||
updateChart(chartData);
|
||||
}
|
||||
});
|
||||
|
||||
let query = queryConstructor();
|
||||
fetchDataForChart(query);
|
||||
}
|
||||
|
||||
document.addEventListener("DOMContentLoaded", function() {
|
||||
chartData = [];
|
||||
let chartDom = document.getElementById("feerate-percentiles-chart");
|
||||
let myChart = echarts.init(chartDom);
|
||||
|
||||
const filterPeriods = {"7 day": 7, "28 day": 28, "365 day": 365, "2 years": 730, "5 years": 1826, "10 years": 3652, "all time": 10000};
|
||||
dropDownFilter("days_ago_dropdown_filter", "days_ago", ["feerate-percentile-chart"], filterPeriods, "365 day")
|
||||
|
||||
createChart(
|
||||
chart = myChart,
|
||||
endpoint = "feerate_percentiles",
|
||||
xAxisType = "category",
|
||||
);
|
||||
});
|
||||
|
||||
|
|
@ -1,279 +0,0 @@
|
|||
function createTable(
|
||||
endpoint,
|
||||
tableId,
|
||||
headers,
|
||||
maxHeight,
|
||||
sortable,
|
||||
valueId,
|
||||
selectableRows,
|
||||
filterTargets,
|
||||
defaultFirstSelected,
|
||||
) {
|
||||
async function fetchDataForTable(query) {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/${endpoint}?${query}`;
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const fetchedData = await response.json();
|
||||
data = fetchedData;
|
||||
generateTable(data);
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function generateTable(data) {
|
||||
const jsonTableContainer = document.getElementById(`${tableId}-container`);
|
||||
jsonTableContainer.className = "jsonTableContainer";
|
||||
jsonTableContainer.innerHTML = "";
|
||||
jsonTableContainer.style.maxHeight = maxHeight;
|
||||
|
||||
tableHeaderNames = Object.values(headers);
|
||||
tableHeaderKeys = Object.keys(headers);
|
||||
|
||||
const table = document.createElement("table");
|
||||
table.id = tableId;
|
||||
const thead = document.createElement("thead");
|
||||
const tbody = document.createElement("tbody");
|
||||
const headerRow = document.createElement("tr");
|
||||
tableHeaderNames.forEach((header) => {
|
||||
const th = document.createElement("th");
|
||||
th.textContent = header;
|
||||
headerRow.appendChild(th);
|
||||
});
|
||||
thead.appendChild(headerRow);
|
||||
table.appendChild(thead);
|
||||
|
||||
for (const key in data) {
|
||||
const row = document.createElement("tr");
|
||||
row.value = data[key][valueId];
|
||||
tableHeaderKeys.forEach((columnName) => {
|
||||
const td = document.createElement("td");
|
||||
const div = document.createElement("div");
|
||||
div.id = "scrollable";
|
||||
div.textContent = data[key][columnName];
|
||||
td.appendChild(div);
|
||||
row.appendChild(td);
|
||||
tbody.appendChild(row);
|
||||
});
|
||||
}
|
||||
table.appendChild(thead);
|
||||
table.appendChild(tbody);
|
||||
jsonTableContainer.appendChild(table);
|
||||
|
||||
|
||||
if (sortable == true) {
|
||||
table.className = "sortable";
|
||||
sorttable.makeSortable(document.getElementById(tableId));
|
||||
}
|
||||
|
||||
if (selectableRows === "multi" || selectableRows === "single") {
|
||||
const rows = table.getElementsByTagName("tr");
|
||||
for (let i = 1; i < rows.length; i++) {
|
||||
rows[i].addEventListener("click", function() {
|
||||
if (selectableRows === "multi") {
|
||||
this.classList.toggle("selected");
|
||||
if (this.classList.contains("selected")) {
|
||||
const event = new CustomEvent("filterChange", {
|
||||
detail: {
|
||||
filterId: valueId,
|
||||
filterValue: this.value,
|
||||
filterActions: ["selected"],
|
||||
filterTargets: filterTargets,
|
||||
},
|
||||
});
|
||||
document.dispatchEvent(event);
|
||||
} else {
|
||||
const event = new CustomEvent("filterChange", {
|
||||
detail: {
|
||||
filterId: valueId,
|
||||
filterValue: this.value,
|
||||
filterActions: ["deselected"],
|
||||
filterTargets: filterTargets,
|
||||
},
|
||||
});
|
||||
document.dispatchEvent(event);
|
||||
}
|
||||
} else if (selectableRows === "single") {
|
||||
const event = new CustomEvent("filterChange", {
|
||||
detail: {
|
||||
filterId: valueId,
|
||||
filterValue: this.value,
|
||||
filterActions: ["selected"],
|
||||
filterTargets: filterTargets,
|
||||
},
|
||||
});
|
||||
document.dispatchEvent(event);
|
||||
|
||||
if (this.classList.contains("selected")) {
|
||||
this.classList.remove("selected");
|
||||
} else {
|
||||
for (let j = 1; j < rows.length; j++) {
|
||||
rows[j].classList.remove("selected");
|
||||
}
|
||||
this.classList.add("selected");
|
||||
}
|
||||
}
|
||||
});
|
||||
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);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
document.addEventListener("filterChange", function(event) {
|
||||
tableId = document.getElementById(tableId).id;
|
||||
if (event.detail.filterTargets.includes(tableId)) {
|
||||
query = queryConstructor();
|
||||
fetchDataForTable(query);
|
||||
}
|
||||
});
|
||||
|
||||
let query = queryConstructor();
|
||||
fetchDataForTable(query);
|
||||
}
|
||||
|
||||
function createChart(
|
||||
chart,
|
||||
chatId,
|
||||
endpoint,
|
||||
xAxisField,
|
||||
yAxisField,
|
||||
chartType,
|
||||
xAxisType,
|
||||
scaleChart = true,
|
||||
formatValueDecimalPlaces = null,
|
||||
) {
|
||||
async function fetchDataForChart(query, valueId) {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/${endpoint}?${query}`;
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const fetchedData = await response.json();
|
||||
const newData = fetchedData.reduce((acc, item) => {
|
||||
const objectId = item[valueId];
|
||||
if (!acc[objectId]) {
|
||||
acc[objectId] = [];
|
||||
}
|
||||
acc[objectId].push([item[xAxisField], item[yAxisField]]);
|
||||
return acc;
|
||||
}, {});
|
||||
chartData = { ...chartData, ...newData };
|
||||
updateChart();
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function updateChart() {
|
||||
let chartDataMap = new Map();
|
||||
for (let objectId in chartData) {
|
||||
chartDataMap.set(objectId, chartData[objectId]);
|
||||
}
|
||||
|
||||
var option = {
|
||||
tooltip: {
|
||||
...tooltip,
|
||||
valueFormatter(value, index) {
|
||||
return formatValueDecimalPlaces == null
|
||||
? value
|
||||
: nFormatter(value, formatValueDecimalPlaces);
|
||||
},
|
||||
},
|
||||
xAxis: {
|
||||
type: xAxisType,
|
||||
},
|
||||
yAxis: {
|
||||
scale: scaleChart,
|
||||
type: "value",
|
||||
},
|
||||
series: Array.from(chartDataMap.entries()).map(([name, data]) => ({
|
||||
name,
|
||||
type: chartType,
|
||||
data,
|
||||
showSymbol: false,
|
||||
})),
|
||||
};
|
||||
chart.setOption(option, true);
|
||||
}
|
||||
|
||||
// listen for filter events for this target
|
||||
document.addEventListener("filterChange", function(event) {
|
||||
eventDetail = event.detail;
|
||||
if (eventDetail.filterActions.includes("refresh")) {
|
||||
chartData = [];
|
||||
updateChart();
|
||||
} else {
|
||||
if (eventDetail.filterTargets.includes(chatId)) {
|
||||
if (eventDetail.filterActions.includes("selected")) {
|
||||
valueId = eventDetail.filterId;
|
||||
let selectedRow = {
|
||||
[valueId]: eventDetail.filterValue,
|
||||
};
|
||||
query = queryConstructor(selectedRow);
|
||||
|
||||
fetchDataForChart(query, valueId);
|
||||
} else {
|
||||
delete chartData[eventDetail.filterValue];
|
||||
updateChart();
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
document.addEventListener("DOMContentLoaded", function() {
|
||||
chartData = [];
|
||||
let chartDom = document.getElementById("bitcoin-business-growth-chart");
|
||||
let myChart = echarts.init(chartDom);
|
||||
|
||||
const filterPeriods = {"7 day": 7, "28 day": 28, "365 day": 365, "2 years": 730, "5 years": 1826, "10 years": 3652, "all time": 10000};
|
||||
dropDownFilter("days_ago_dropdown_filter", "days_ago", ["bitcoin-business-growth-chart", "bitcoin-business-growth-table"], filterPeriods, "365 day")
|
||||
|
||||
createTable(
|
||||
endpoint = "bitcoin_business_growth_percent_diff",
|
||||
tableId = "bitcoin-business-growth-table",
|
||||
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",
|
||||
filterTargets = "bitcoin-business-growth-chart",
|
||||
defaultFirstSelected = true
|
||||
)
|
||||
|
||||
createChart(
|
||||
chart = myChart,
|
||||
chartId = "bitcoin-business-growth-chart",
|
||||
endpoint = "bitcoin_business_growth_timeseries",
|
||||
xAxisField = "date",
|
||||
yAxisField = "cumulative_value",
|
||||
chartType = "line",
|
||||
xAxisType = "category",
|
||||
);
|
||||
});
|
||||
|
||||
|
|
@ -1,17 +0,0 @@
|
|||
// maplibregl.addProtocol("cog", MaplibreCOGProtocol.cogProtocol);
|
||||
//
|
||||
// map.on("load", () => {
|
||||
// map.addSource("imageSource", {
|
||||
// type: "raster",
|
||||
// url: `cog://http://localhost:5000/cog?year=${year}&pid=${pid}`,
|
||||
// tileSize: 256,
|
||||
// minzoom: 0,
|
||||
// });
|
||||
//
|
||||
// map.addLayer({
|
||||
// id: "imageLayer",
|
||||
// source: "imageSource",
|
||||
// type: "raster",
|
||||
// });
|
||||
// });
|
||||
//
|
||||
|
|
@ -1,261 +0,0 @@
|
|||
// let chartData = [];
|
||||
// const myChart = echarts.init(document.getElementById("chart"));
|
||||
// const filename = "final__hashrate.json";
|
||||
// const periods = [
|
||||
// "all time",
|
||||
// "last 7 days",
|
||||
// "last 28 days",
|
||||
// "last 365 days",
|
||||
// "last 2 years",
|
||||
// ];
|
||||
//
|
||||
// async function fetchDataForChart(selectedValue) {
|
||||
// try {
|
||||
// const apiEndpoint = `${apiURL}/get_json/${filename}?period=${selectedValue}`;
|
||||
// const response = await fetch(apiEndpoint);
|
||||
// if (!response.ok) {
|
||||
// throw new Error(`HTTP error! status: ${response.status}`);
|
||||
// }
|
||||
// const chartData = await response.json();
|
||||
// initEchart(chartData);
|
||||
// } catch (error) {
|
||||
// console.error("Fetching data failed:", error);
|
||||
// }
|
||||
// }
|
||||
//
|
||||
// function initEchart(chartData) {
|
||||
// const option = {
|
||||
// backgroundColor: backgroundColor,
|
||||
// tooltip: {
|
||||
// ...tooltip,
|
||||
// valueFormatter(value, index) {
|
||||
// return nFormatter(value, 0);
|
||||
// },
|
||||
// },
|
||||
// toolbox: toolboxParams,
|
||||
// xAxis: {
|
||||
// data: chartData.map((row) => row.date),
|
||||
// axisTick: axisTick,
|
||||
// axisLabel: axisLabel,
|
||||
// axisLine: axisLine,
|
||||
// },
|
||||
// grid: grid,
|
||||
// dataZoom: dataZoom(0),
|
||||
// yAxis: [
|
||||
// {
|
||||
// type: "value",
|
||||
// name: "Hashrate (H/s)",
|
||||
// nameLocation: "middle",
|
||||
// nameGap: 30,
|
||||
// nameTextStyle: textStyleMain,
|
||||
// position: "left",
|
||||
// alignTicks: true,
|
||||
// axisTick: axisTick,
|
||||
// splitLine: {
|
||||
// show: false,
|
||||
// },
|
||||
// axisLine: axisLine,
|
||||
// axisLabel: {
|
||||
// fontSize: 12 * fontScale,
|
||||
// color: textColor,
|
||||
// formatter(value, index) {
|
||||
// return nFormatter(value, 0);
|
||||
// },
|
||||
// },
|
||||
// },
|
||||
// {
|
||||
// type: "value",
|
||||
// name: "Difficulty",
|
||||
// nameLocation: "middle",
|
||||
// nameGap: 30,
|
||||
// nameTextStyle: textStyleMain,
|
||||
// axisTick: axisTick,
|
||||
// position: "right",
|
||||
// alignTicks: true,
|
||||
// axisLine: axisLine,
|
||||
// splitLine: {
|
||||
// show: false,
|
||||
// },
|
||||
// axisLabel: {
|
||||
// fontSize: 12 * fontScale,
|
||||
// color: textColor,
|
||||
// formatter(value, index) {
|
||||
// return nFormatter(value, 0);
|
||||
// },
|
||||
// },
|
||||
// },
|
||||
// ],
|
||||
// series: [
|
||||
// {
|
||||
// type: "line",
|
||||
// name: "Hashrate",
|
||||
// barCategoryGap: "0%",
|
||||
// data: chartData.map((row) => row.hashrate),
|
||||
// },
|
||||
// {
|
||||
// type: "line",
|
||||
// color: "red",
|
||||
// id: "rolling-average",
|
||||
// name: "MA28",
|
||||
// showSymbol: false,
|
||||
// barCategoryGap: "0%",
|
||||
// data: chartData.map((row) => row.hashrate28),
|
||||
// },
|
||||
// {
|
||||
// type: "line",
|
||||
// yAxisIndex: 1,
|
||||
// name: "Difficulty",
|
||||
// barCategoryGap: "0%",
|
||||
// data: chartData.map((row) => row.difficulty),
|
||||
// },
|
||||
// ],
|
||||
// };
|
||||
//
|
||||
// myChart.setOption(option);
|
||||
// }
|
||||
//
|
||||
// document.addEventListener("DOMContentLoaded", function () {
|
||||
// let periodIndex = 2;
|
||||
// periodDropdown(periods, periodIndex);
|
||||
// fetchDataForChart(periods[periodIndex]);
|
||||
// const selectElement = document.getElementById("select-period-dropdown");
|
||||
//
|
||||
// selectElement.addEventListener("change", function (event) {
|
||||
// const selectedValue = event.target.value;
|
||||
// fetchDataForChart(selectedValue);
|
||||
// });
|
||||
// });
|
||||
|
||||
|
||||
function createChart(
|
||||
chart,
|
||||
endpoint,
|
||||
xAxisType,
|
||||
scaleChart = false,
|
||||
) {
|
||||
async function fetchDataForChart(query) {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/${endpoint}?${query}`;
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const chartData = await response.json();
|
||||
console.log(chartData)
|
||||
updateChart(chartData);
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function updateChart(chartData) {
|
||||
var option = {
|
||||
tooltip: {
|
||||
...tooltip,
|
||||
},
|
||||
xAxis: {
|
||||
type: xAxisType,
|
||||
data: chartData.map((item) => item.date),
|
||||
},
|
||||
yAxis: [
|
||||
{
|
||||
type: "value",
|
||||
name: "Hashrate (H/s)",
|
||||
nameLocation: "middle",
|
||||
nameGap: 30,
|
||||
nameTextStyle: textStyleMain,
|
||||
position: "left",
|
||||
alignTicks: true,
|
||||
axisTick: axisTick,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLine: axisLine,
|
||||
axisLabel: {
|
||||
fontSize: 12 * fontScale,
|
||||
color: textColor,
|
||||
formatter(value, index) {
|
||||
return nFormatter(value, 0);
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
type: "value",
|
||||
name: "Difficulty",
|
||||
nameLocation: "middle",
|
||||
nameGap: 30,
|
||||
nameTextStyle: textStyleMain,
|
||||
axisTick: axisTick,
|
||||
position: "right",
|
||||
alignTicks: true,
|
||||
axisLine: axisLine,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: {
|
||||
fontSize: 12 * fontScale,
|
||||
color: textColor,
|
||||
formatter(value, index) {
|
||||
return nFormatter(value, 0);
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
series: [
|
||||
{
|
||||
type: "line",
|
||||
name: "Hashrate",
|
||||
barCategoryGap: "0%",
|
||||
data: chartData.map((row) => row.hashrate),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
color: "red",
|
||||
id: "rolling-average",
|
||||
name: "MA28",
|
||||
showSymbol: false,
|
||||
barCategoryGap: "0%",
|
||||
data: chartData.map((row) => row.hashrate28),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
yAxisIndex: 1,
|
||||
name: "Difficulty",
|
||||
barCategoryGap: "0%",
|
||||
data: chartData.map((row) => row.difficulty),
|
||||
},
|
||||
],
|
||||
};
|
||||
chart.setOption(option, true);
|
||||
}
|
||||
|
||||
// listen for filter events for this target
|
||||
document.addEventListener("filterChange", function(event) {
|
||||
eventDetail = event.detail;
|
||||
if (eventDetail.filterActions.includes("refresh")) {
|
||||
chartData = [];
|
||||
query = queryConstructor();
|
||||
fetchDataForChart(query);
|
||||
updateChart(chartData);
|
||||
}
|
||||
});
|
||||
|
||||
let query = queryConstructor();
|
||||
fetchDataForChart(query);
|
||||
}
|
||||
|
||||
document.addEventListener("DOMContentLoaded", function() {
|
||||
chartData = [];
|
||||
let chartDom = document.getElementById("hashrate-chart");
|
||||
let myChart = echarts.init(chartDom);
|
||||
|
||||
const filterPeriods = { "7 day": 7, "28 day": 28, "365 day": 365, "2 years": 730, "5 years": 1826, "10 years": 3652, "all time": 10000 };
|
||||
dropDownFilter("days_ago_dropdown_filter", "days_ago", ["hashrate-chart"], filterPeriods, "365 day")
|
||||
|
||||
createChart(
|
||||
chart = myChart,
|
||||
endpoint = "bitcoin_hashrate",
|
||||
xAxisType = "category",
|
||||
);
|
||||
});
|
||||
|
||||
|
|
@ -1,151 +0,0 @@
|
|||
function createChart(
|
||||
chart,
|
||||
endpoint,
|
||||
xAxisType,
|
||||
scaleChart = false,
|
||||
) {
|
||||
async function fetchDataForChart(query) {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/${endpoint}?${query}`;
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const chartData = await response.json();
|
||||
console.log(chartData)
|
||||
updateChart(chartData);
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function updateChart(chartData) {
|
||||
var option = {
|
||||
tooltip: {
|
||||
...tooltip,
|
||||
},
|
||||
xAxis: {
|
||||
type: xAxisType,
|
||||
data: chartData.map((item) => item.date),
|
||||
},
|
||||
yAxis: [
|
||||
{
|
||||
type: "value",
|
||||
name: "Rewards (USD)",
|
||||
nameLocation: "middle",
|
||||
nameGap: 30,
|
||||
nameTextStyle: textStyleMain,
|
||||
position: "left",
|
||||
alignTicks: true,
|
||||
axisTick: axisTick,
|
||||
axisLine: axisLine,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: {
|
||||
...axisLabel,
|
||||
formatter(value, index) {
|
||||
return nFormatter(value, 0);
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
type: "value",
|
||||
name: "Subsidy (BTC)",
|
||||
nameLocation: "middle",
|
||||
nameGap: 20,
|
||||
nameTextStyle: {
|
||||
fontSize: 12 * fontScale,
|
||||
color: textColor,
|
||||
},
|
||||
axisTick: axisTick,
|
||||
position: "right",
|
||||
alignTicks: true,
|
||||
axisLine: axisLine,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: {
|
||||
fontSize: 12 * fontScale,
|
||||
color: textColor,
|
||||
},
|
||||
},
|
||||
],
|
||||
series: [
|
||||
{
|
||||
type: "line",
|
||||
name: "Subsidy (USD)",
|
||||
stack: "Total",
|
||||
areaStyle: {},
|
||||
symbol: "none",
|
||||
lineStyle: {
|
||||
width: 0,
|
||||
},
|
||||
data: chartData.map((row) => row.subsidy_usd),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
name: "Fees (USD)",
|
||||
stack: "Total",
|
||||
areaStyle: {},
|
||||
symbol: "none",
|
||||
lineStyle: {
|
||||
width: 0,
|
||||
},
|
||||
data: chartData.map((row) => row.totalfee_usd),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
name: "Total (USD)",
|
||||
symbol: "none",
|
||||
lineStyle: {
|
||||
width: 1,
|
||||
color: textColor,
|
||||
},
|
||||
data: chartData.map((row) => row.total_reward_usd),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
yAxisIndex: 1,
|
||||
name: "Block Subsidy (BTC)",
|
||||
symbol: "none",
|
||||
lineStyle: {
|
||||
width: 3,
|
||||
},
|
||||
data: chartData.map((row) => row.block_subsidy),
|
||||
},
|
||||
],
|
||||
};
|
||||
chart.setOption(option, true);
|
||||
}
|
||||
|
||||
// listen for filter events for this target
|
||||
document.addEventListener("filterChange", function(event) {
|
||||
eventDetail = event.detail;
|
||||
if (eventDetail.filterActions.includes("refresh")) {
|
||||
chartData = [];
|
||||
query = queryConstructor();
|
||||
fetchDataForChart(query);
|
||||
updateChart(chartData);
|
||||
}
|
||||
});
|
||||
|
||||
let query = queryConstructor();
|
||||
fetchDataForChart(query);
|
||||
}
|
||||
|
||||
document.addEventListener("DOMContentLoaded", function() {
|
||||
chartData = [];
|
||||
let chartDom = document.getElementById("miner-rewards-chart");
|
||||
let myChart = echarts.init(chartDom);
|
||||
|
||||
const filterPeriods = { "7 day": 7, "28 day": 28, "365 day": 365, "2 years": 730, "5 years": 1826, "10 years": 3652, "all time": 10000 };
|
||||
dropDownFilter("days_ago_dropdown_filter", "days_ago", ["miner-rewards-chart"], filterPeriods, "365 day")
|
||||
|
||||
createChart(
|
||||
chart = myChart,
|
||||
endpoint = "miner_rewards",
|
||||
xAxisType = "category",
|
||||
);
|
||||
});
|
||||
|
||||
108
static/js/feerate-percentile.js
Normal file
108
static/js/feerate-percentile.js
Normal file
|
|
@ -0,0 +1,108 @@
|
|||
let dataArr = [];
|
||||
const myChart = echarts.init(document.getElementById("chart"));
|
||||
|
||||
async function fetchDataForChart() {
|
||||
try {
|
||||
const apiEndpoint =
|
||||
"https://api.bitlab21.com/get_json/final__feerate_percentiles.json";
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const dataArr = await response.json();
|
||||
initEchart(dataArr);
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function initEchart(dataArr) {
|
||||
const option = {
|
||||
backgroundColor: backgroundColor,
|
||||
tooltip: {
|
||||
...tooltip,
|
||||
valueFormatter: (value) => `${value.toFixed(0)} sats/vByte`,
|
||||
},
|
||||
toolbox: toolboxParams,
|
||||
xAxis: {
|
||||
data: dataArr.map((row) => row.date),
|
||||
axisTick: axisTick,
|
||||
axisLabel: axisLabel,
|
||||
axisLine: axisLine,
|
||||
},
|
||||
yAxis: {
|
||||
axisTick: axisTick,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: axisLabel,
|
||||
axisLine: axisLine,
|
||||
},
|
||||
grid: grid,
|
||||
dataZoom: dataZoom((start = 98)),
|
||||
series: [
|
||||
{
|
||||
type: "line",
|
||||
id: "min-feerate",
|
||||
name: "min",
|
||||
showSymbol: false,
|
||||
barCategoryGap: "0%",
|
||||
data: [0],
|
||||
},
|
||||
{
|
||||
type: "bar",
|
||||
stack: "value",
|
||||
name: "10th",
|
||||
barCategoryGap: "0%",
|
||||
data: dataArr.map((row) => row.feerate_10th),
|
||||
},
|
||||
{
|
||||
type: "bar",
|
||||
stack: "value",
|
||||
name: "25th",
|
||||
barCategoryGap: "0%",
|
||||
data: dataArr.map((row) => row.feerate_25th),
|
||||
},
|
||||
{
|
||||
type: "bar",
|
||||
stack: "value",
|
||||
name: "50th",
|
||||
barCategoryGap: "0%",
|
||||
data: dataArr.map((row) => row.feerate_50th),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
id: "mean-feerate",
|
||||
name: "mean",
|
||||
showSymbol: false,
|
||||
barCategoryGap: "0%",
|
||||
data: [0],
|
||||
},
|
||||
{
|
||||
type: "bar",
|
||||
stack: "value",
|
||||
name: "75th",
|
||||
barCategoryGap: "0%",
|
||||
data: dataArr.map((row) => row.feerate_75th),
|
||||
},
|
||||
{
|
||||
type: "bar",
|
||||
stack: "value",
|
||||
name: "90th",
|
||||
barCategoryGap: "0%",
|
||||
data: dataArr.map((row) => row.feerate_90th),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
id: "max-feerate",
|
||||
name: "max",
|
||||
showSymbol: false,
|
||||
barCategoryGap: "0%",
|
||||
data: [0],
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
myChart.setOption(option);
|
||||
}
|
||||
fetchDataForChart();
|
||||
109
static/js/hashrate.js
Normal file
109
static/js/hashrate.js
Normal file
|
|
@ -0,0 +1,109 @@
|
|||
let dataArr = [];
|
||||
const myChart = echarts.init(document.getElementById("chart"));
|
||||
|
||||
async function fetchDataForChart() {
|
||||
try {
|
||||
const apiEndpoint =
|
||||
"https://api.bitlab21.com/get_json/final__hashrate.json";
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const dataArr = await response.json();
|
||||
initEchart(dataArr);
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function initEchart(dataArr) {
|
||||
const option = {
|
||||
backgroundColor: backgroundColor,
|
||||
tooltip: {
|
||||
...tooltip,
|
||||
valueFormatter(value, index) {
|
||||
return nFormatter(value, 0);
|
||||
},
|
||||
},
|
||||
toolbox: toolboxParams,
|
||||
xAxis: {
|
||||
data: dataArr.map((row) => row.date),
|
||||
axisTick: axisTick,
|
||||
axisLabel: axisLabel,
|
||||
axisLine: axisLine,
|
||||
},
|
||||
grid: grid,
|
||||
dataZoom: dataZoom(),
|
||||
yAxis: [
|
||||
{
|
||||
type: "value",
|
||||
name: "Hashrate (H/s)",
|
||||
nameLocation: "middle",
|
||||
nameGap: 30,
|
||||
nameTextStyle: textStyleMain,
|
||||
position: "left",
|
||||
alignTicks: true,
|
||||
axisTick: axisTick,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLine: axisLine,
|
||||
axisLabel: {
|
||||
fontSize: 12 * fontScale,
|
||||
color: textColor,
|
||||
formatter(value, index) {
|
||||
return nFormatter(value, 0);
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
type: "value",
|
||||
name: "Difficulty",
|
||||
nameLocation: "middle",
|
||||
nameGap: 30,
|
||||
nameTextStyle: textStyleMain,
|
||||
axisTick: axisTick,
|
||||
position: "right",
|
||||
alignTicks: true,
|
||||
axisLine: axisLine,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: {
|
||||
fontSize: 12 * fontScale,
|
||||
color: textColor,
|
||||
formatter(value, index) {
|
||||
return nFormatter(value, 0);
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
series: [
|
||||
{
|
||||
type: "line",
|
||||
name: "Hashrate",
|
||||
barCategoryGap: "0%",
|
||||
data: dataArr.map((row) => row.hashrate),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
color: "red",
|
||||
id: "rolling-average",
|
||||
name: "MA28",
|
||||
showSymbol: false,
|
||||
barCategoryGap: "0%",
|
||||
data: dataArr.map((row) => row.hashrate28),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
yAxisIndex: 1,
|
||||
name: "Difficulty",
|
||||
barCategoryGap: "0%",
|
||||
data: dataArr.map((row) => row.difficulty),
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
myChart.setOption(option);
|
||||
}
|
||||
fetchDataForChart();
|
||||
45
static/js/lib/echarts.min.js
vendored
45
static/js/lib/echarts.min.js
vendored
File diff suppressed because one or more lines are too long
|
|
@ -1,64 +0,0 @@
|
|||
function queryConstructor(customFilters = {}) {
|
||||
let filters = document.querySelectorAll(".filter");
|
||||
let queryObject = {};
|
||||
|
||||
Object.assign(queryObject, customFilters);
|
||||
|
||||
filters.forEach((filter) => {
|
||||
const filterId = filter.filterId;
|
||||
const filterValue = filter.value;
|
||||
queryObject[filterId] = filterValue;
|
||||
});
|
||||
|
||||
let queryString = `query=${JSON.stringify(queryObject)}`;
|
||||
|
||||
return queryString;
|
||||
}
|
||||
|
||||
function dispatchDropdownEvent(selectElement, filterId, filterTargets) {
|
||||
const event = new CustomEvent('filterChange', {
|
||||
detail: {
|
||||
filterId: filterId,
|
||||
filterValue: selectElement.value,
|
||||
filterActions: ["refresh"],
|
||||
filterTargets: filterTargets
|
||||
}
|
||||
});
|
||||
document.dispatchEvent(event);
|
||||
}
|
||||
|
||||
function dropDownFilter(domId, filterId, filterTargets, options, defaultKey) {
|
||||
domFilter = document.getElementById(domId);
|
||||
domFilter.filterId = filterId;
|
||||
for (const [key, value] of Object.entries(options)) {
|
||||
const option = document.createElement('option');
|
||||
option.value = value;
|
||||
option.textContent = key;
|
||||
domFilter.appendChild(option);
|
||||
if (key == defaultKey) {
|
||||
option.selected = true;
|
||||
}
|
||||
}
|
||||
dispatchDropdownEvent(domFilter, filterId, filterTargets)
|
||||
domFilter.addEventListener('change', () => dispatchDropdownEvent(domFilter, filterId, filterTargets));
|
||||
}
|
||||
|
||||
function nFormatter(value, digits) {
|
||||
const lookup = [
|
||||
{ value: 1, symbol: "" },
|
||||
{ value: 1e3, symbol: "k" },
|
||||
{ value: 1e6, symbol: "M" },
|
||||
{ value: 1e9, symbol: "G" },
|
||||
{ value: 1e12, symbol: "T" },
|
||||
{ value: 1e15, symbol: "P" },
|
||||
{ value: 1e18, symbol: "E" },
|
||||
];
|
||||
const rx = /\.0+$|(\.[0-9]*[1-9])0+$/;
|
||||
const item = lookup
|
||||
.slice()
|
||||
.reverse()
|
||||
.find((item) => value >= item.value);
|
||||
return item
|
||||
? (value / item.value).toFixed(digits).replace(rx, "$1") + item.symbol
|
||||
: "0";
|
||||
}
|
||||
|
|
@ -1,495 +0,0 @@
|
|||
/*
|
||||
SortTable
|
||||
version 2
|
||||
7th April 2007
|
||||
Stuart Langridge, http://www.kryogenix.org/code/browser/sorttable/
|
||||
|
||||
Instructions:
|
||||
Download this file
|
||||
Add <script src="sorttable.js"></script> to your HTML
|
||||
Add class="sortable" to any table you'd like to make sortable
|
||||
Click on the headers to sort
|
||||
|
||||
Thanks to many, many people for contributions and suggestions.
|
||||
Licenced as X11: http://www.kryogenix.org/code/browser/licence.html
|
||||
This basically means: do what you want with it.
|
||||
*/
|
||||
|
||||
|
||||
var stIsIE = /*@cc_on!@*/false;
|
||||
|
||||
sorttable = {
|
||||
init: function() {
|
||||
// quit if this function has already been called
|
||||
if (arguments.callee.done) return;
|
||||
// flag this function so we don't do the same thing twice
|
||||
arguments.callee.done = true;
|
||||
// kill the timer
|
||||
if (_timer) clearInterval(_timer);
|
||||
|
||||
if (!document.createElement || !document.getElementsByTagName) return;
|
||||
|
||||
sorttable.DATE_RE = /^(\d\d?)[\/\.-](\d\d?)[\/\.-]((\d\d)?\d\d)$/;
|
||||
|
||||
forEach(document.getElementsByTagName('table'), function(table) {
|
||||
if (table.className.search(/\bsortable\b/) != -1) {
|
||||
sorttable.makeSortable(table);
|
||||
}
|
||||
});
|
||||
|
||||
},
|
||||
|
||||
makeSortable: function(table) {
|
||||
if (table.getElementsByTagName('thead').length == 0) {
|
||||
// table doesn't have a tHead. Since it should have, create one and
|
||||
// put the first table row in it.
|
||||
the = document.createElement('thead');
|
||||
the.appendChild(table.rows[0]);
|
||||
table.insertBefore(the,table.firstChild);
|
||||
}
|
||||
// Safari doesn't support table.tHead, sigh
|
||||
if (table.tHead == null) table.tHead = table.getElementsByTagName('thead')[0];
|
||||
|
||||
if (table.tHead.rows.length != 1) return; // can't cope with two header rows
|
||||
|
||||
// Sorttable v1 put rows with a class of "sortbottom" at the bottom (as
|
||||
// "total" rows, for example). This is B&R, since what you're supposed
|
||||
// to do is put them in a tfoot. So, if there are sortbottom rows,
|
||||
// for backwards compatibility, move them to tfoot (creating it if needed).
|
||||
sortbottomrows = [];
|
||||
for (var i=0; i<table.rows.length; i++) {
|
||||
if (table.rows[i].className.search(/\bsortbottom\b/) != -1) {
|
||||
sortbottomrows[sortbottomrows.length] = table.rows[i];
|
||||
}
|
||||
}
|
||||
if (sortbottomrows) {
|
||||
if (table.tFoot == null) {
|
||||
// table doesn't have a tfoot. Create one.
|
||||
tfo = document.createElement('tfoot');
|
||||
table.appendChild(tfo);
|
||||
}
|
||||
for (var i=0; i<sortbottomrows.length; i++) {
|
||||
tfo.appendChild(sortbottomrows[i]);
|
||||
}
|
||||
delete sortbottomrows;
|
||||
}
|
||||
|
||||
// work through each column and calculate its type
|
||||
headrow = table.tHead.rows[0].cells;
|
||||
for (var i=0; i<headrow.length; i++) {
|
||||
// manually override the type with a sorttable_type attribute
|
||||
if (!headrow[i].className.match(/\bsorttable_nosort\b/)) { // skip this col
|
||||
mtch = headrow[i].className.match(/\bsorttable_([a-z0-9]+)\b/);
|
||||
if (mtch) { override = mtch[1]; }
|
||||
if (mtch && typeof sorttable["sort_"+override] == 'function') {
|
||||
headrow[i].sorttable_sortfunction = sorttable["sort_"+override];
|
||||
} else {
|
||||
headrow[i].sorttable_sortfunction = sorttable.guessType(table,i);
|
||||
}
|
||||
// make it clickable to sort
|
||||
headrow[i].sorttable_columnindex = i;
|
||||
headrow[i].sorttable_tbody = table.tBodies[0];
|
||||
dean_addEvent(headrow[i],"click", sorttable.innerSortFunction = function(e) {
|
||||
|
||||
if (this.className.search(/\bsorttable_sorted\b/) != -1) {
|
||||
// if we're already sorted by this column, just
|
||||
// reverse the table, which is quicker
|
||||
sorttable.reverse(this.sorttable_tbody);
|
||||
this.className = this.className.replace('sorttable_sorted',
|
||||
'sorttable_sorted_reverse');
|
||||
this.removeChild(document.getElementById('sorttable_sortfwdind'));
|
||||
sortrevind = document.createElement('span');
|
||||
sortrevind.id = "sorttable_sortrevind";
|
||||
sortrevind.innerHTML = stIsIE ? ' <font face="webdings">5</font>' : ' ▴';
|
||||
this.appendChild(sortrevind);
|
||||
return;
|
||||
}
|
||||
if (this.className.search(/\bsorttable_sorted_reverse\b/) != -1) {
|
||||
// if we're already sorted by this column in reverse, just
|
||||
// re-reverse the table, which is quicker
|
||||
sorttable.reverse(this.sorttable_tbody);
|
||||
this.className = this.className.replace('sorttable_sorted_reverse',
|
||||
'sorttable_sorted');
|
||||
this.removeChild(document.getElementById('sorttable_sortrevind'));
|
||||
sortfwdind = document.createElement('span');
|
||||
sortfwdind.id = "sorttable_sortfwdind";
|
||||
sortfwdind.innerHTML = stIsIE ? ' <font face="webdings">6</font>' : ' ▾';
|
||||
this.appendChild(sortfwdind);
|
||||
return;
|
||||
}
|
||||
|
||||
// remove sorttable_sorted classes
|
||||
theadrow = this.parentNode;
|
||||
forEach(theadrow.childNodes, function(cell) {
|
||||
if (cell.nodeType == 1) { // an element
|
||||
cell.className = cell.className.replace('sorttable_sorted_reverse','');
|
||||
cell.className = cell.className.replace('sorttable_sorted','');
|
||||
}
|
||||
});
|
||||
sortfwdind = document.getElementById('sorttable_sortfwdind');
|
||||
if (sortfwdind) { sortfwdind.parentNode.removeChild(sortfwdind); }
|
||||
sortrevind = document.getElementById('sorttable_sortrevind');
|
||||
if (sortrevind) { sortrevind.parentNode.removeChild(sortrevind); }
|
||||
|
||||
this.className += ' sorttable_sorted';
|
||||
sortfwdind = document.createElement('span');
|
||||
sortfwdind.id = "sorttable_sortfwdind";
|
||||
sortfwdind.innerHTML = stIsIE ? ' <font face="webdings">6</font>' : ' ▾';
|
||||
this.appendChild(sortfwdind);
|
||||
|
||||
// build an array to sort. This is a Schwartzian transform thing,
|
||||
// i.e., we "decorate" each row with the actual sort key,
|
||||
// sort based on the sort keys, and then put the rows back in order
|
||||
// which is a lot faster because you only do getInnerText once per row
|
||||
row_array = [];
|
||||
col = this.sorttable_columnindex;
|
||||
rows = this.sorttable_tbody.rows;
|
||||
for (var j=0; j<rows.length; j++) {
|
||||
row_array[row_array.length] = [sorttable.getInnerText(rows[j].cells[col]), rows[j]];
|
||||
}
|
||||
/* If you want a stable sort, uncomment the following line */
|
||||
//sorttable.shaker_sort(row_array, this.sorttable_sortfunction);
|
||||
/* and comment out this one */
|
||||
row_array.sort(this.sorttable_sortfunction);
|
||||
|
||||
tb = this.sorttable_tbody;
|
||||
for (var j=0; j<row_array.length; j++) {
|
||||
tb.appendChild(row_array[j][1]);
|
||||
}
|
||||
|
||||
delete row_array;
|
||||
});
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
guessType: function(table, column) {
|
||||
// guess the type of a column based on its first non-blank row
|
||||
sortfn = sorttable.sort_alpha;
|
||||
for (var i=0; i<table.tBodies[0].rows.length; i++) {
|
||||
text = sorttable.getInnerText(table.tBodies[0].rows[i].cells[column]);
|
||||
if (text != '') {
|
||||
if (text.match(/^-?[£$¤]?[\d,.]+%?$/)) {
|
||||
return sorttable.sort_numeric;
|
||||
}
|
||||
// check for a date: dd/mm/yyyy or dd/mm/yy
|
||||
// can have / or . or - as separator
|
||||
// can be mm/dd as well
|
||||
possdate = text.match(sorttable.DATE_RE)
|
||||
if (possdate) {
|
||||
// looks like a date
|
||||
first = parseInt(possdate[1]);
|
||||
second = parseInt(possdate[2]);
|
||||
if (first > 12) {
|
||||
// definitely dd/mm
|
||||
return sorttable.sort_ddmm;
|
||||
} else if (second > 12) {
|
||||
return sorttable.sort_mmdd;
|
||||
} else {
|
||||
// looks like a date, but we can't tell which, so assume
|
||||
// that it's dd/mm (English imperialism!) and keep looking
|
||||
sortfn = sorttable.sort_ddmm;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return sortfn;
|
||||
},
|
||||
|
||||
getInnerText: function(node) {
|
||||
// gets the text we want to use for sorting for a cell.
|
||||
// strips leading and trailing whitespace.
|
||||
// this is *not* a generic getInnerText function; it's special to sorttable.
|
||||
// for example, you can override the cell text with a customkey attribute.
|
||||
// it also gets .value for <input> fields.
|
||||
|
||||
if (!node) return "";
|
||||
|
||||
hasInputs = (typeof node.getElementsByTagName == 'function') &&
|
||||
node.getElementsByTagName('input').length;
|
||||
|
||||
if (node.getAttribute("sorttable_customkey") != null) {
|
||||
return node.getAttribute("sorttable_customkey");
|
||||
}
|
||||
else if (typeof node.textContent != 'undefined' && !hasInputs) {
|
||||
return node.textContent.replace(/^\s+|\s+$/g, '');
|
||||
}
|
||||
else if (typeof node.innerText != 'undefined' && !hasInputs) {
|
||||
return node.innerText.replace(/^\s+|\s+$/g, '');
|
||||
}
|
||||
else if (typeof node.text != 'undefined' && !hasInputs) {
|
||||
return node.text.replace(/^\s+|\s+$/g, '');
|
||||
}
|
||||
else {
|
||||
switch (node.nodeType) {
|
||||
case 3:
|
||||
if (node.nodeName.toLowerCase() == 'input') {
|
||||
return node.value.replace(/^\s+|\s+$/g, '');
|
||||
}
|
||||
case 4:
|
||||
return node.nodeValue.replace(/^\s+|\s+$/g, '');
|
||||
break;
|
||||
case 1:
|
||||
case 11:
|
||||
var innerText = '';
|
||||
for (var i = 0; i < node.childNodes.length; i++) {
|
||||
innerText += sorttable.getInnerText(node.childNodes[i]);
|
||||
}
|
||||
return innerText.replace(/^\s+|\s+$/g, '');
|
||||
break;
|
||||
default:
|
||||
return '';
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
reverse: function(tbody) {
|
||||
// reverse the rows in a tbody
|
||||
newrows = [];
|
||||
for (var i=0; i<tbody.rows.length; i++) {
|
||||
newrows[newrows.length] = tbody.rows[i];
|
||||
}
|
||||
for (var i=newrows.length-1; i>=0; i--) {
|
||||
tbody.appendChild(newrows[i]);
|
||||
}
|
||||
delete newrows;
|
||||
},
|
||||
|
||||
/* sort functions
|
||||
each sort function takes two parameters, a and b
|
||||
you are comparing a[0] and b[0] */
|
||||
sort_numeric: function(a,b) {
|
||||
aa = parseFloat(a[0].replace(/[^0-9.-]/g,''));
|
||||
if (isNaN(aa)) aa = 0;
|
||||
bb = parseFloat(b[0].replace(/[^0-9.-]/g,''));
|
||||
if (isNaN(bb)) bb = 0;
|
||||
return aa-bb;
|
||||
},
|
||||
sort_alpha: function(a,b) {
|
||||
if (a[0]==b[0]) return 0;
|
||||
if (a[0]<b[0]) return -1;
|
||||
return 1;
|
||||
},
|
||||
sort_ddmm: function(a,b) {
|
||||
mtch = a[0].match(sorttable.DATE_RE);
|
||||
y = mtch[3]; m = mtch[2]; d = mtch[1];
|
||||
if (m.length == 1) m = '0'+m;
|
||||
if (d.length == 1) d = '0'+d;
|
||||
dt1 = y+m+d;
|
||||
mtch = b[0].match(sorttable.DATE_RE);
|
||||
y = mtch[3]; m = mtch[2]; d = mtch[1];
|
||||
if (m.length == 1) m = '0'+m;
|
||||
if (d.length == 1) d = '0'+d;
|
||||
dt2 = y+m+d;
|
||||
if (dt1==dt2) return 0;
|
||||
if (dt1<dt2) return -1;
|
||||
return 1;
|
||||
},
|
||||
sort_mmdd: function(a,b) {
|
||||
mtch = a[0].match(sorttable.DATE_RE);
|
||||
y = mtch[3]; d = mtch[2]; m = mtch[1];
|
||||
if (m.length == 1) m = '0'+m;
|
||||
if (d.length == 1) d = '0'+d;
|
||||
dt1 = y+m+d;
|
||||
mtch = b[0].match(sorttable.DATE_RE);
|
||||
y = mtch[3]; d = mtch[2]; m = mtch[1];
|
||||
if (m.length == 1) m = '0'+m;
|
||||
if (d.length == 1) d = '0'+d;
|
||||
dt2 = y+m+d;
|
||||
if (dt1==dt2) return 0;
|
||||
if (dt1<dt2) return -1;
|
||||
return 1;
|
||||
},
|
||||
|
||||
shaker_sort: function(list, comp_func) {
|
||||
// A stable sort function to allow multi-level sorting of data
|
||||
// see: http://en.wikipedia.org/wiki/Cocktail_sort
|
||||
// thanks to Joseph Nahmias
|
||||
var b = 0;
|
||||
var t = list.length - 1;
|
||||
var swap = true;
|
||||
|
||||
while(swap) {
|
||||
swap = false;
|
||||
for(var i = b; i < t; ++i) {
|
||||
if ( comp_func(list[i], list[i+1]) > 0 ) {
|
||||
var q = list[i]; list[i] = list[i+1]; list[i+1] = q;
|
||||
swap = true;
|
||||
}
|
||||
} // for
|
||||
t--;
|
||||
|
||||
if (!swap) break;
|
||||
|
||||
for(var i = t; i > b; --i) {
|
||||
if ( comp_func(list[i], list[i-1]) < 0 ) {
|
||||
var q = list[i]; list[i] = list[i-1]; list[i-1] = q;
|
||||
swap = true;
|
||||
}
|
||||
} // for
|
||||
b++;
|
||||
|
||||
} // while(swap)
|
||||
}
|
||||
}
|
||||
|
||||
/* ******************************************************************
|
||||
Supporting functions: bundled here to avoid depending on a library
|
||||
****************************************************************** */
|
||||
|
||||
// Dean Edwards/Matthias Miller/John Resig
|
||||
|
||||
/* for Mozilla/Opera9 */
|
||||
if (document.addEventListener) {
|
||||
document.addEventListener("DOMContentLoaded", sorttable.init, false);
|
||||
}
|
||||
|
||||
/* for Internet Explorer */
|
||||
/*@cc_on @*/
|
||||
/*@if (@_win32)
|
||||
document.write("<script id=__ie_onload defer src=javascript:void(0)><\/script>");
|
||||
var script = document.getElementById("__ie_onload");
|
||||
script.onreadystatechange = function() {
|
||||
if (this.readyState == "complete") {
|
||||
sorttable.init(); // call the onload handler
|
||||
}
|
||||
};
|
||||
/*@end @*/
|
||||
|
||||
/* for Safari */
|
||||
if (/WebKit/i.test(navigator.userAgent)) { // sniff
|
||||
var _timer = setInterval(function() {
|
||||
if (/loaded|complete/.test(document.readyState)) {
|
||||
sorttable.init(); // call the onload handler
|
||||
}
|
||||
}, 10);
|
||||
}
|
||||
|
||||
/* for other browsers */
|
||||
window.onload = sorttable.init;
|
||||
|
||||
// written by Dean Edwards, 2005
|
||||
// with input from Tino Zijdel, Matthias Miller, Diego Perini
|
||||
|
||||
// http://dean.edwards.name/weblog/2005/10/add-event/
|
||||
|
||||
function dean_addEvent(element, type, handler) {
|
||||
if (element.addEventListener) {
|
||||
element.addEventListener(type, handler, false);
|
||||
} else {
|
||||
// assign each event handler a unique ID
|
||||
if (!handler.$$guid) handler.$$guid = dean_addEvent.guid++;
|
||||
// create a hash table of event types for the element
|
||||
if (!element.events) element.events = {};
|
||||
// create a hash table of event handlers for each element/event pair
|
||||
var handlers = element.events[type];
|
||||
if (!handlers) {
|
||||
handlers = element.events[type] = {};
|
||||
// store the existing event handler (if there is one)
|
||||
if (element["on" + type]) {
|
||||
handlers[0] = element["on" + type];
|
||||
}
|
||||
}
|
||||
// store the event handler in the hash table
|
||||
handlers[handler.$$guid] = handler;
|
||||
// assign a global event handler to do all the work
|
||||
element["on" + type] = handleEvent;
|
||||
}
|
||||
};
|
||||
// a counter used to create unique IDs
|
||||
dean_addEvent.guid = 1;
|
||||
|
||||
function removeEvent(element, type, handler) {
|
||||
if (element.removeEventListener) {
|
||||
element.removeEventListener(type, handler, false);
|
||||
} else {
|
||||
// delete the event handler from the hash table
|
||||
if (element.events && element.events[type]) {
|
||||
delete element.events[type][handler.$$guid];
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
function handleEvent(event) {
|
||||
var returnValue = true;
|
||||
// grab the event object (IE uses a global event object)
|
||||
event = event || fixEvent(((this.ownerDocument || this.document || this).parentWindow || window).event);
|
||||
// get a reference to the hash table of event handlers
|
||||
var handlers = this.events[event.type];
|
||||
// execute each event handler
|
||||
for (var i in handlers) {
|
||||
this.$$handleEvent = handlers[i];
|
||||
if (this.$$handleEvent(event) === false) {
|
||||
returnValue = false;
|
||||
}
|
||||
}
|
||||
return returnValue;
|
||||
};
|
||||
|
||||
function fixEvent(event) {
|
||||
// add W3C standard event methods
|
||||
event.preventDefault = fixEvent.preventDefault;
|
||||
event.stopPropagation = fixEvent.stopPropagation;
|
||||
return event;
|
||||
};
|
||||
fixEvent.preventDefault = function() {
|
||||
this.returnValue = false;
|
||||
};
|
||||
fixEvent.stopPropagation = function() {
|
||||
this.cancelBubble = true;
|
||||
}
|
||||
|
||||
// Dean's forEach: http://dean.edwards.name/base/forEach.js
|
||||
/*
|
||||
forEach, version 1.0
|
||||
Copyright 2006, Dean Edwards
|
||||
License: http://www.opensource.org/licenses/mit-license.php
|
||||
*/
|
||||
|
||||
// array-like enumeration
|
||||
if (!Array.forEach) { // mozilla already supports this
|
||||
Array.forEach = function(array, block, context) {
|
||||
for (var i = 0; i < array.length; i++) {
|
||||
block.call(context, array[i], i, array);
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
// generic enumeration
|
||||
Function.prototype.forEach = function(object, block, context) {
|
||||
for (var key in object) {
|
||||
if (typeof this.prototype[key] == "undefined") {
|
||||
block.call(context, object[key], key, object);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// character enumeration
|
||||
String.forEach = function(string, block, context) {
|
||||
Array.forEach(string.split(""), function(chr, index) {
|
||||
block.call(context, chr, index, string);
|
||||
});
|
||||
};
|
||||
|
||||
// globally resolve forEach enumeration
|
||||
var forEach = function(object, block, context) {
|
||||
if (object) {
|
||||
var resolve = Object; // default
|
||||
if (object instanceof Function) {
|
||||
// functions have a "length" property
|
||||
resolve = Function;
|
||||
} else if (object.forEach instanceof Function) {
|
||||
// the object implements a custom forEach method so use that
|
||||
object.forEach(block, context);
|
||||
return;
|
||||
} else if (typeof object == "string") {
|
||||
// the object is a string
|
||||
resolve = String;
|
||||
} else if (typeof object.length == "number") {
|
||||
// the object is array-like
|
||||
resolve = Array;
|
||||
}
|
||||
resolve.forEach(object, block, context);
|
||||
}
|
||||
};
|
||||
|
||||
127
static/js/miner-rewards.js
Normal file
127
static/js/miner-rewards.js
Normal file
|
|
@ -0,0 +1,127 @@
|
|||
let dataArr = [];
|
||||
const myChart = echarts.init(document.getElementById("chart"));
|
||||
|
||||
async function fetchDataForChart() {
|
||||
try {
|
||||
const apiEndpoint =
|
||||
"https://api.bitlab21.com/get_json/final__miner_rewards.json";
|
||||
const response = await fetch(apiEndpoint);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
}
|
||||
const dataArr = await response.json();
|
||||
initEchart(dataArr);
|
||||
} catch (error) {
|
||||
console.error("Fetching data failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
function initEchart(dataArr) {
|
||||
const option = {
|
||||
backgroundColor: backgroundColor,
|
||||
tooltip: tooltip,
|
||||
toolbox: toolboxParams,
|
||||
xAxis: {
|
||||
data: dataArr.map((row) => row.date),
|
||||
axisTick: axisTick,
|
||||
axisLabel: axisLabel,
|
||||
axisLine: axisLine,
|
||||
},
|
||||
grid: grid,
|
||||
dataZoom: dataZoom(97),
|
||||
yAxis: [
|
||||
{
|
||||
type: "value",
|
||||
name: "Rewards (USD)",
|
||||
nameLocation: "middle",
|
||||
nameGap: 35,
|
||||
nameTextStyle: textStyleMain,
|
||||
position: "left",
|
||||
alignTicks: true,
|
||||
axisTick: axisTick,
|
||||
axisLine: axisLine,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: {
|
||||
...axisLabel,
|
||||
formatter(value, index) {
|
||||
return nFormatter(value, 0);
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
type: "value",
|
||||
name: "Block Subsidy (BTC)",
|
||||
nameLocation: "middle",
|
||||
nameGap: 20,
|
||||
nameTextStyle: {
|
||||
fontSize: 12 * fontScale,
|
||||
color: textColor,
|
||||
},
|
||||
axisTick: axisTick,
|
||||
position: "right",
|
||||
alignTicks: true,
|
||||
axisLine: axisLine,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
axisLabel: {
|
||||
fontSize: 12 * fontScale,
|
||||
color: textColor,
|
||||
},
|
||||
},
|
||||
],
|
||||
series: [
|
||||
{
|
||||
type: "line",
|
||||
name: "Daily Subsidy (USD)",
|
||||
smooth: true,
|
||||
stack: "Total",
|
||||
areaStyle: {},
|
||||
symbol: "none",
|
||||
lineStyle: {
|
||||
width: 0,
|
||||
},
|
||||
data: dataArr.map((row) => row.subsidy_usd),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
name: "Daily Fees (USD)",
|
||||
smooth: true,
|
||||
stack: "Total",
|
||||
areaStyle: {},
|
||||
symbol: "none",
|
||||
lineStyle: {
|
||||
width: 0,
|
||||
},
|
||||
data: dataArr.map((row) => row.totalfee_usd),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
name: "Daily Total Reward (USD)",
|
||||
smooth: true,
|
||||
symbol: "none",
|
||||
lineStyle: {
|
||||
width: 1,
|
||||
color: textColor,
|
||||
},
|
||||
data: dataArr.map((row) => row.total_reward_usd),
|
||||
},
|
||||
{
|
||||
type: "line",
|
||||
yAxisIndex: 1,
|
||||
name: "Block Subsidy (BTC)",
|
||||
symbol: "none",
|
||||
lineStyle: {
|
||||
width: 3,
|
||||
},
|
||||
data: dataArr.map((row) => row.block_subsidy),
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
myChart.setOption(option);
|
||||
}
|
||||
|
||||
fetchDataForChart();
|
||||
Loading…
Add table
Reference in a new issue