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34 Commits

Author SHA1 Message Date
Sam c31c1f5f06 add map 2024-09-04 18:49:40 +01:00
Sam 8788de1717 delete cv 2024-09-04 15:52:57 +01:00
Sam d0d8ef627d fix 2024-09-03 22:24:32 +01:00
Sam 194dc81fab remove link to cv 2024-09-02 14:56:20 +01:00
Sam 9be14e9e95 remove draft article 2024-08-28 21:44:51 +01:00
Sam 5f70642630 minor cv change 2024-08-28 20:57:00 +01:00
Sam e9e9b59054 update cv 2024-08-28 19:07:46 +01:00
Sam 7c53d31090 typo 2024-08-28 18:29:34 +01:00
Sam 6474149be3 update CV 2024-08-28 18:27:57 +01:00
Sam 5600889bb6 move todays date inside route functions 2024-08-27 15:37:27 +01:00
Sam d851b03572 chance lisence 2024-08-22 10:45:55 +01:00
Sam 9c38b67927 chance lisence 2024-08-22 10:39:36 +01:00
Sam 7574996863 fix data-downloads link and update cv 2024-08-22 10:26:09 +01:00
Sam 5840cad951 make construction notice bold 2024-08-20 19:42:58 +01:00
Sam 4977ce1adf changed homepage to remove license info 2024-08-20 19:41:13 +01:00
Sam 51eba0166f update cv 2024-08-20 17:03:36 +01:00
Sam a3d8cc4302 Update cv 2024-08-20 10:17:41 +01:00
Sam b14e2503ce attribution to singapore dl page 2024-08-15 20:31:09 +01:00
Sam 08e1ada18a tweaks and license stuff 2024-08-15 20:28:16 +01:00
Sam 7fa469cb8e fix get remote address in app logging 2024-08-15 15:22:11 +01:00
Sam 12fc1490f0 fix url issue 2024-08-15 15:14:43 +01:00
Sam 0357f61342 revert api url in config 2024-08-15 15:01:36 +01:00
Sam 349101a236 more tweaks 2024-08-15 15:00:44 +01:00
Sam 3f3f27d4c8 Major refactor of charts 2024-08-14 19:48:58 +01:00
Sam a0796dacc5 Change api endpoints to use apiURL 2024-08-14 17:59:38 +01:00
Sam 4cf874ca77 Merge branch 'master' of git.bitlab21.com:sam/baseddata.io 2024-08-14 11:48:09 +01:00
Sam 6ec45a5dd6 Modify content 2024-08-14 11:47:45 +01:00
Sam e277e13aec add data dir to gitignore 2024-08-14 11:46:17 +01:00
Sam e1bdecb23f Use default content list for tags creation 2024-08-13 20:35:00 +01:00
Sam b8c5b01243 Fixes incorrect url in site title 2024-08-13 20:31:51 +01:00
Sam 42a32637bb Modifications 2024-08-13 20:14:17 +01:00
Sam bc41fb2367 Fix incorrect url in data-downloads shortcode 2024-08-13 20:01:36 +01:00
Sam 94b59f8aa9 Add requirements.txt 2024-08-13 19:48:52 +01:00
Sam 9292b0df03 Rename service file 2024-08-13 19:43:41 +01:00
40 changed files with 931 additions and 170 deletions

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.gitignore vendored
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*.old *.old
.hugo_build.lock .hugo_build.lock
*.json *.json
/data
backend/api_logs.txt
*__pycache__* *__pycache__*

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

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backend/requirements.txt Normal file
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flask
flask_cors
orjson
gunicorn

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# Grounded Insights from Open Data # Grounded Insights from Open Data
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. **This site is currently under construction**.
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 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 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). 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.
### Explore Based Data ### Explore Based Data

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My name is Sam Chance, and this is my personal site. My name is Sam Chance, and this is my personal site.
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. 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.
If you wish to work with me, then please email me on *contact@sjplab.com*. 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: ### Shortcuts to some of my work:
- [Based Data Lab](/data-lab) A selection of charts and metrics obtained from public data - [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 - [Map Printing Service](https://semitamaps.com) A free map printing service based on Openstreetmaps
@ -28,7 +25,7 @@ More about my professional life [here](/cv).
### Software I use: ### Software I use:
- [**Neovim**](https://neovim.io/) for text editing (my neovim config is part of my [nixos](https://git.bitlab21.com/sam/nixos) configuration) - [**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)
- I use **Linux** on all my machines - I use **Linux** on all my machines

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@ -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 aws s3 cp s3://raster/SRTM_GL1/ . --recursive --endpoint-url https://opentopography.s3.sdsc.edu --no-sign-request
{{</ highlight >}} {{</ highlight >}}
If you'd prefer to download specific rasters or rasters for a region instead, you can checkout this [website](https://dwtkns.com/srtm30m/). 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.
## Using raster2pgsql to import raster tiles into PostGIS ## Using raster2pgsql to import raster tiles into PostGIS
Now we have the data downloaded on our system, we can import it into our database. 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 ## Raster Clipping
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. Now we have global SRTM data loaded in our local database, we can extract the tiles we want for further analysis.
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. 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.
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. 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.
@ -224,3 +224,6 @@ This DEM raster of Singapore is available for download from the downloads page [
#### Citations #### 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 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)

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@ -1,28 +0,0 @@
# Sam Chance
## Analytics Engineer
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
- 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 - 2017 to 2018
### BSc Marine Biology & Zoology
Bangor University - 2008 to 2011

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@ -11,7 +11,10 @@ tags: ["QGIS", "SRTM", "DEM", "Raster", "download"]
{{< figure src="/pics/blog/batch-import-postgis-rasters/singapore-final.webp" width="300">}} {{< 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 the Digital Elevation Model featured in [this](/blog/batch-import-postgis-rasters/) blog.
{{< download-data src="http://localhost:5000/download/singapore-srtm-dem.tif" name="singapore-srtm-dem.tif" >}} {{< download-data src="/singapore-srtm-dem.tif" name="singapore-srtm-dem.tif" >}} (9.6MB)
#### Citations #### 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 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)

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@ -10,7 +10,5 @@ tags: ["Bitcoin", "Stats"]
--- ---
This chart shows historical median daily feerate percentiles for the Bitcoin This chart shows historical median daily feerate percentiles for the Bitcoin
protocol. The data represents a daily aggregation of all blocks. This data was protocol.
extracted from the blockchain using the `bitcoin-cli getblockstats` command.
{{< chart src="/js/feerate-percentile.js" >}} {{< chart src="/js/feerate-percentile.js" >}}

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@ -8,13 +8,19 @@ summary: "This analysis uses OpenStreetMaps data to chart the yearly growth of b
tags: ["Bitcoin", "Stats", "OpenStreetMaps"] 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. 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 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. 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. The chart always reflects the countries selected in the table.
<br/> <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" >}} {{< chart src="/js/bitcoin-business-growth-chart.js" >}}
{{< table src="/js/bitcoin-business-growth-table.js" >}} {{< table src="/js/bitcoin-business-growth-table.js" >}}
#### Attribution and License
Data obtained from © [OpenStreetMap](https://www.openstreetmap.org/copyright)
Licensed under the [ODbl](https://opendatacommons.org/licenses/odbl/)

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@ -8,6 +8,6 @@ summary: "Timeseries chart showing the Bitcoin network hashrate and difficulty."
tags: ["Bitcoin", "Stats", "Hashrate"] tags: ["Bitcoin", "Stats", "Hashrate"]
--- ---
The estimated hashrate and difficulty of the Bitcoin network, accompanied by the 28-day moving average. 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.
{{< chart src="/js/hashrate.js" >}} {{< chart src="/js/hashrate.js" >}}

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@ -9,6 +9,6 @@ draft: false
tags: ["Bitcoin", "Stats"] tags: ["Bitcoin", "Stats"]
--- ---
Total daily aggregated miner income denominated in USD for that day. 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/).
{{< chart src="/js/miner-rewards.js" >}} {{< chart src="/js/miner-rewards.js" >}}

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@ -8,7 +8,7 @@ summary: "Daily bitcoin price. Data is obtained from CoinGecko using their publi
tags: ["Bitcoin", "Stats"] tags: ["Bitcoin", "Stats"]
--- ---
Daily bitcoin price. Data is obtained from CoinGecko using their Daily bitcoin price. Data is obtained from [CoinGecko](https://www.coingecko.com/) using their
public API. public API.
{{< bitcoin-price >}} {{< bitcoin-price >}}

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@ -0,0 +1,11 @@
---
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"]
---
{{< map >}}

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@ -1,3 +1,21 @@
# License # License
All work on this site is licensed using [unlicense](https://unlicense.org/). This effectively means all of the content hosted on https://baseddata.io and in the baseddata 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. 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.

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@ -1,6 +1,9 @@
baseURL = 'https://baseddate.io/' baseURL = 'https://baseddata.io'
languageCode = 'en-gb' languageCode = 'en-gb'
title = 'baseddata.io' title = 'Based Data'
[params]
apiURL = 'http://localhost:5000'
[markup.highlight] [markup.highlight]
pygmentsUseClasses = false pygmentsUseClasses = false

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@ -1,7 +1,7 @@
<script src="https://cdn.jsdelivr.net/npm/echarts@5.5.1/dist/echarts.min.js"></script> <script src="https://cdn.jsdelivr.net/npm/echarts@5.5.1/dist/echarts.min.js"></script>
<section class="chart-container"> <section class="chart-container">
<div id="chart-modifiers"></div>
<div id="chart"> <div id="chart">
<canvas id="{{ .id }}"></canvas>
<script src="{{ .src }}"></script> <script src="{{ .src }}"></script>
</div> </div>
</section> </section>

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@ -1,8 +1,9 @@
<footer> <footer>
<div id="footer"> <div id="footer">
<p> <p>
baseddata.io by Sam Chance. baseddata.io by Sam Chance. | Built with
<a href="/license">Uncopywrited.</a> <a href="https://gohugo.io/">Hugo</a>
| <a href="/license">License</a>
</p> </p>
</div> </div>
</footer> </footer>

View File

@ -1,7 +1,7 @@
<header> <header>
<nav class="navbar" role="navigation"> <nav class="navbar" role="navigation">
<div class="navbar__left"> <div class="navbar__left">
<a href="/"><strong>Based Data</strong></a> <a href="/"><strong>BASED DATA</strong></a>
</div> </div>
<div class="navbar__right"> <div class="navbar__right">
<div class="navbar-links">{{ partial "navbarlinks.html" . }}</div> <div class="navbar-links">{{ partial "navbarlinks.html" . }}</div>

34
layouts/partials/map.html Normal file
View File

@ -0,0 +1,34 @@
<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="map" style="height: 400px"></div>
<script>
let map = new maplibregl.Map({
container: "map",
style: "https://tiles.semitamaps.com/styles/maptiler-basic/style.json",
center: [117.9588, 5.81513],
zoom: 11,
});
maplibregl.addProtocol("cog", MaplibreCOGProtocol.cogProtocol);
map.on("load", () => {
map.addSource("imageSource", {
type: "raster",
url: "cog://http://localhost:5000/download/10072.tif",
tileSize: 256,
minzoom: 0,
});
map.addLayer({
id: "imageLayer",
source: "imageSource",
type: "raster",
});
});
</script>
</section>

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@ -4,7 +4,7 @@
<p id="price"></p> <p id="price"></p>
<script> <script>
fetch("https://api.baseddata.io/get_json/final__price.json") fetch(`${"{{ .Site.Params.apiURL }}"}/get_json/final__price.json`)
.then((response) => response.json()) .then((response) => response.json())
.then((data) => { .then((data) => {
var lastElement = data[data.length - 1]; var lastElement = data[data.length - 1];

View File

@ -1,2 +1,5 @@
{{ $id := .Get "src" | md5 }} <script>
{{ partial "chart.html" (dict "src" (.Get "src") "id" $id) }} const apiURL = "{{ .Site.Params.apiURL }}";
</script>
{{ $id := .Get "src" | md5 }} {{ partial "chart.html" (dict "src" (.Get "src")
"id" $id) }}

View File

@ -5,7 +5,12 @@
<script> <script>
async function downloadFile(url, name) { async function downloadFile(url, name) {
try { try {
const response = await fetch(url); 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 blob = await response.blob(); const blob = await response.blob();
const link = document.createElement('a'); const link = document.createElement('a');
link.href = URL.createObjectURL(blob); link.href = URL.createObjectURL(blob);
@ -13,6 +18,7 @@
document.body.appendChild(link); document.body.appendChild(link);
link.click(); link.click();
document.body.removeChild(link); document.body.removeChild(link);
URL.revokeObjectURL(link.href); // Clean up the object URL
} catch (error) { } catch (error) {
console.error('Error downloading the file:', error); console.error('Error downloading the file:', error);
} }

View File

@ -1,7 +0,0 @@
<select id={{ .Get "id" }} class="dropdownFilter">
{{ with .Get "select" }}
{{ range $index, $element := split . "," }}
<option value="{{ $element }}">{{ $element }}</option>
{{ end }}
</select>
{{ end }}

View File

@ -0,0 +1 @@
{{ partial "map.html" }}

View File

@ -1,2 +1,2 @@
{{ $id := .Get "src" | md5 }} {{ $id := .Get "src" | md5 }} {{ partial "table.html" (dict "src" (.Get "src")
{{ partial "table.html" (dict "src" (.Get "src") "id" $id) }} "id" $id) }}

View File

@ -6,24 +6,39 @@
</div> </div>
<div class="article-card-container"> <div class="article-card-container">
{{ range.Pages }} {{ range.Pages }}
<a class="article-card" href="{{ .RelPermalink }}"> <div class="article-card">
<div class="article-card-info"> <div class="article-card-info">
<div class="article-card-thumb"> <div class="article-card-thumb">
<img <a href="{{ .RelPermalink }}">
class="article-card-thumbnail" <img
src="{{ .Params.header_image }}" class="article-card-thumbnail"
/> src="{{ .Params.header_image }}"
/>
</a>
</div> </div>
<div class="article-card-summary"> <div class="article-card-summary">
<h3><strong>{{ .Title | safeHTML }}</strong></h3> {{ template "partials/get-tags.html" . }}
<p>{{ .Summary | safeHTML }}</p> <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>
<br /> <br />
<div class="article-card-author-row"> <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> <time>{{ .Date.Format "January 2, 2006" }}</time>
</div> </div>
</div> </div>
</div> </div>
</a> </div>
{{ end }} {{ end }}
</div> </div>
</div> </div>

View File

@ -9,10 +9,22 @@ pkgs.mkShell
python312Packages.pandas python312Packages.pandas
python312Packages.orjson python312Packages.orjson
hugo hugo
tmux
]; ];
shellHook = '' shellHook = ''
${pkgs.cowsay}/bin/cowsay "Welcome to the bitlab development environment!" | ${pkgs.lolcat}/bin/lolcat ${pkgs.cowsay}/bin/cowsay "Welcome to the baseddata.io development environment!" | ${pkgs.lolcat}/bin/lolcat
get_session=$(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 && python app.py" C-m
echo "Baseddata running in dev tmux shell"
fi
''; '';
} }

View File

@ -16,4 +16,9 @@
margin-top: 20px; margin-top: 20px;
display: flex; display: flex;
justify-content: center; justify-content: center;
flex-direction: column;
}
#chart-modifiers {
display: flex;
} }

View File

@ -52,6 +52,7 @@
.navbar__left a { .navbar__left a {
text-decoration: none !important; text-decoration: none !important;
font-weight: 540;
color: var(--text-color) !important; color: var(--text-color) !important;
font-size: 22px; font-size: 22px;
} }

View File

@ -133,7 +133,10 @@ footer {
color: var(--text-color); color: var(--text-color);
padding: 20px; padding: 20px;
height: 10vh; height: 10vh;
display: flex;
justify-content: space-between;
border-top: var(--border-width) var(--border-style) var(--border-color); border-top: var(--border-width) var(--border-style) var(--border-color);
} }
#footer {
display: flex;
justify-content: center;
}

View File

@ -1,9 +1,14 @@
let chartData = []; let chartData = [];
let myChart; let myChart;
async function fetchDataForChart(str) { let periodIndex = 3;
const periods = ["1 day", "7 day", "28 day", "365 day"];
async function fetchDataForChart(str, period) {
try { try {
const apiEndpoint = `https://api.baseddata.io/bitcoin_business_growth_by_country?cumulative_period_type=365 day&countries=${str}`; const apiEndpoint = `${apiURL}/bitcoin_business_growth_by_country?cumulative_period_type=${period}&countries=${str}`;
console.log("Fetching from " + apiEndpoint);
const response = await fetch(apiEndpoint); const response = await fetch(apiEndpoint);
if (!response.ok) { if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`); throw new Error(`HTTP error! status: ${response.status}`);
@ -38,10 +43,11 @@ function updateChart() {
axisTick: axisTick, axisTick: axisTick,
axisLabel: axisLabel, axisLabel: axisLabel,
axisLine: axisLine, axisLine: axisLine,
type: "time", type: "category",
}, },
yAxis: { yAxis: {
axisTick: axisTick, axisTick: axisTick,
scale: true,
splitLine: { splitLine: {
show: false, show: false,
}, },
@ -69,30 +75,35 @@ function handleCheckboxChange(event) {
if (event.target.type === "checkbox") { if (event.target.type === "checkbox") {
const boxChecked = event.target.checked; const boxChecked = event.target.checked;
const boxId = event.target.id; const boxId = event.target.id;
let selectedPeriod = getPeriodFromDropdown();
// Remove unchecked boxes // Remove unchecked boxes
if (boxChecked === false) { if (boxChecked === false) {
delete chartData[boxId]; delete chartData[boxId];
updateChart(); updateChart();
// Add checked boxes // Add checked boxes
} else { } else {
fetchDataForChart(boxId); fetchDataForChart(boxId, selectedPeriod);
} }
} }
} }
document.addEventListener("reloadTable", () => { document.addEventListener("DOMContentLoaded", function () {
myChart = echarts.init(document.getElementById("chart")); periodDropdown(periods, periodIndex);
jsonTableCheckedBoxes = document.querySelectorAll( document.addEventListener("reloadTable", () => {
'#jsonTableContainer input[type="checkbox"]:checked', myChart = echarts.init(document.getElementById("chart"));
); jsonTableCheckedBoxes = document.querySelectorAll(
const checkedBoxes = Array.from(jsonTableCheckedBoxes).map( '#jsonTableContainer input[type="checkbox"]:checked',
(checkbox) => checkbox.id, );
); const checkedBoxes = Array.from(jsonTableCheckedBoxes).map(
const str = checkedBoxes.join(","); (checkbox) => checkbox.id,
chartData = []; );
fetchDataForChart(str); const str = checkedBoxes.join(",");
let selectedPeriod = getPeriodFromDropdown();
chartData = [];
fetchDataForChart(str, selectedPeriod);
jsonTable = document.getElementById("jsonTableContainer"); jsonTable = document.getElementById("jsonTableContainer");
jsonTable.removeEventListener("change", handleCheckboxChange); jsonTable.removeEventListener("change", handleCheckboxChange);
jsonTable.addEventListener("change", handleCheckboxChange); jsonTable.addEventListener("change", handleCheckboxChange);
});
}); });

View File

@ -1,12 +1,9 @@
async function fetchDataForTable() { async function fetchDataForTable() {
try { try {
const dropdown = document.querySelector(".dropdownFilter"); selectedPeriod = getPeriodFromDropdown();
let selectedIndex = dropdown.selectedIndex; const apiEndpoint = `${apiURL}/bitcoin_business_growth_by_country?latest_date=true`;
let selectedValue = dropdown.options[selectedIndex].value;
const apiEndpoint =
"https://api.baseddata.io/bitcoin_business_growth_by_country?latest_date=true";
const response = await fetch( const response = await fetch(
apiEndpoint + `&cumulative_period_type=${selectedValue}`, apiEndpoint + `&cumulative_period_type=${selectedPeriod}`,
); );
if (!response.ok) { if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`); throw new Error(`HTTP error! status: ${response.status}`);
@ -89,10 +86,10 @@ function createTable(data) {
); );
} }
window.onload = () => { document.addEventListener("DOMContentLoaded", function () {
const dropdown = document.querySelector(".dropdownFilter"); const dropdown = document.getElementById("select-period-dropdown");
fetchDataForTable(); fetchDataForTable();
dropdown.addEventListener("change", () => { dropdown.addEventListener("change", () => {
fetchDataForTable(); fetchDataForTable();
}); });
}; });

View File

@ -1,9 +1,18 @@
let dataArr = []; let dataArr = [];
const myChart = echarts.init(document.getElementById("chart")); const myChart = echarts.init(document.getElementById("chart"));
const filename = "final__price.json";
async function fetchDataForChart() { const periods = [
"all time",
"last 7 days",
"last 28 days",
"last 365 days",
"last 2 years",
];
async function fetchDataForChart(selectedValue) {
try { try {
const apiEndpoint = "https://api.baseddata.io/get_json/final__price.json"; const apiEndpoint = `${apiURL}/get_json/${filename}?period=${selectedValue}`;
const response = await fetch(apiEndpoint); const response = await fetch(apiEndpoint);
if (!response.ok) { if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`); throw new Error(`HTTP error! status: ${response.status}`);
@ -27,7 +36,7 @@ function initEchart(dataArr) {
axisLine: axisLine, axisLine: axisLine,
}, },
grid: grid, grid: grid,
dataZoom: dataZoom(), dataZoom: dataZoom(0),
yAxis: [ yAxis: [
{ {
type: "value", type: "value",
@ -62,4 +71,14 @@ function initEchart(dataArr) {
myChart.setOption(option); myChart.setOption(option);
} }
fetchDataForChart(); 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);
});
});

View File

@ -31,7 +31,7 @@ const toolboxParams = {
dataZoom: { dataZoom: {
yAxisIndex: "none", yAxisIndex: "none",
}, },
restore: {}, dataView: {},
saveAsImage: { saveAsImage: {
pixelRatio: 2, pixelRatio: 2,
}, },
@ -73,13 +73,10 @@ const yaxisTextStyle2 = {
color: textColor, color: textColor,
}; };
function dataZoom(start = 90, end = 100, bottom = 15, height = 15) { function dataZoom() {
const dataZoom = [ const dataZoom = [
{ {
start: start, type: "inside",
end: end,
bottom: bottom,
height: height,
}, },
]; ];
@ -106,6 +103,35 @@ function nFormatter(value, digits) {
: "0"; : "0";
} }
function periodDropdown(periods, defaultIndex = 0) {
const modifiers = document.getElementById("chart-modifiers");
const dropdownContainer = document.createElement("div");
const dropdown = document.createElement("select");
const textNode = document.createTextNode("Select period: ");
dropdownContainer.id = "dropdown-container";
dropdown.id = "select-period-dropdown";
dropdownContainer.appendChild(textNode);
dropdownContainer.appendChild(dropdown);
modifiers.appendChild(dropdownContainer);
periods.forEach((period, index) => {
const option = document.createElement("option");
if (index === defaultIndex) {
option.selected = true;
}
option.value = period;
option.textContent = period;
dropdown.appendChild(option);
});
}
function getPeriodFromDropdown() {
let dropdown = document.getElementById("select-period-dropdown");
let selectedIndex = dropdown.selectedIndex;
return dropdown.options[selectedIndex].value;
}
window.addEventListener("resize", function () { window.addEventListener("resize", function () {
if (myChart != null && myChart != undefined) { if (myChart != null && myChart != undefined) {
myChart.resize(); myChart.resize();

View File

@ -1,10 +1,18 @@
let dataArr = []; let dataArr = [];
const myChart = echarts.init(document.getElementById("chart")); const myChart = echarts.init(document.getElementById("chart"));
const filename = "final__feerate_percentiles.json";
async function fetchDataForChart() { const periods = [
"all time",
"last 7 days",
"last 28 days",
"last 365 days",
"last 2 years",
];
async function fetchDataForChart(selectedValue) {
try { try {
const apiEndpoint = const apiEndpoint = `${apiURL}/get_json/${filename}?period=${selectedValue}`;
"https://api.baseddata.io/get_json/final__feerate_percentiles.json";
const response = await fetch(apiEndpoint); const response = await fetch(apiEndpoint);
if (!response.ok) { if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`); throw new Error(`HTTP error! status: ${response.status}`);
@ -39,7 +47,7 @@ function initEchart(dataArr) {
axisLine: axisLine, axisLine: axisLine,
}, },
grid: grid, grid: grid,
dataZoom: dataZoom((start = 98)), dataZoom: dataZoom(0),
series: [ series: [
{ {
type: "line", type: "line",
@ -105,4 +113,15 @@ function initEchart(dataArr) {
myChart.setOption(option); myChart.setOption(option);
} }
fetchDataForChart();
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);
});
});

View File

@ -1,10 +1,17 @@
let dataArr = []; let dataArr = [];
const myChart = echarts.init(document.getElementById("chart")); 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() { async function fetchDataForChart(selectedValue) {
try { try {
const apiEndpoint = const apiEndpoint = `${apiURL}/get_json/${filename}?period=${selectedValue}`;
"https://api.baseddata.io/get_json/final__hashrate.json";
const response = await fetch(apiEndpoint); const response = await fetch(apiEndpoint);
if (!response.ok) { if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`); throw new Error(`HTTP error! status: ${response.status}`);
@ -33,7 +40,7 @@ function initEchart(dataArr) {
axisLine: axisLine, axisLine: axisLine,
}, },
grid: grid, grid: grid,
dataZoom: dataZoom(), dataZoom: dataZoom(0),
yAxis: [ yAxis: [
{ {
type: "value", type: "value",
@ -106,4 +113,15 @@ function initEchart(dataArr) {
myChart.setOption(option); myChart.setOption(option);
} }
fetchDataForChart();
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);
});
});

View File

@ -1,10 +1,17 @@
let dataArr = []; let dataArr = [];
const myChart = echarts.init(document.getElementById("chart")); const myChart = echarts.init(document.getElementById("chart"));
const filename = "final__miner_rewards.json";
const periods = [
"all time",
"last 7 days",
"last 28 days",
"last 365 days",
"last 2 years",
];
async function fetchDataForChart() { async function fetchDataForChart(selectedValue) {
try { try {
const apiEndpoint = const apiEndpoint = `${apiURL}/get_json/${filename}?period=${selectedValue}`;
"https://api.baseddata.io/get_json/final__miner_rewards.json";
const response = await fetch(apiEndpoint); const response = await fetch(apiEndpoint);
if (!response.ok) { if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`); throw new Error(`HTTP error! status: ${response.status}`);
@ -17,9 +24,37 @@ async function fetchDataForChart() {
} }
function initEchart(dataArr) { function initEchart(dataArr) {
console.log(dataArr);
const option = { const option = {
backgroundColor: backgroundColor, backgroundColor: backgroundColor,
tooltip: tooltip, tooltip: {
...tooltip,
formatter: function (params) {
let colors = ["#ee6666", "#000000", "#b0da9d", "#8699d5"];
let colorSpan = (color) =>
'<span style="display:inline-block;margin-right:1px;border-radius:5px;width:9px;height:9px;background-color:' +
color +
'"></span>';
let tooltip = "<p>" + params[0].axisValue + "</p>";
params.reverse().forEach((item, index) => {
let color = colors[index % colors.length];
let labels =
"<p>" +
colorSpan(color) +
" " +
item.seriesName +
": " +
nFormatter(item.data, 3);
("</p>");
tooltip += labels;
});
return tooltip;
},
valueFormatter(value, index) {
return nFormatter(value, 3);
},
},
toolbox: toolboxParams, toolbox: toolboxParams,
xAxis: { xAxis: {
data: dataArr.map((row) => row.date), data: dataArr.map((row) => row.date),
@ -28,13 +63,13 @@ function initEchart(dataArr) {
axisLine: axisLine, axisLine: axisLine,
}, },
grid: grid, grid: grid,
dataZoom: dataZoom(97), dataZoom: dataZoom(0),
yAxis: [ yAxis: [
{ {
type: "value", type: "value",
name: "Rewards (USD)", name: "Rewards (USD)",
nameLocation: "middle", nameLocation: "middle",
nameGap: 35, nameGap: 30,
nameTextStyle: textStyleMain, nameTextStyle: textStyleMain,
position: "left", position: "left",
alignTicks: true, alignTicks: true,
@ -52,7 +87,7 @@ function initEchart(dataArr) {
}, },
{ {
type: "value", type: "value",
name: "Block Subsidy (BTC)", name: "Subsidy (BTC)",
nameLocation: "middle", nameLocation: "middle",
nameGap: 20, nameGap: 20,
nameTextStyle: { nameTextStyle: {
@ -75,8 +110,7 @@ function initEchart(dataArr) {
series: [ series: [
{ {
type: "line", type: "line",
name: "Daily Subsidy (USD)", name: "Subsidy (USD)",
smooth: true,
stack: "Total", stack: "Total",
areaStyle: {}, areaStyle: {},
symbol: "none", symbol: "none",
@ -87,8 +121,7 @@ function initEchart(dataArr) {
}, },
{ {
type: "line", type: "line",
name: "Daily Fees (USD)", name: "Fees (USD)",
smooth: true,
stack: "Total", stack: "Total",
areaStyle: {}, areaStyle: {},
symbol: "none", symbol: "none",
@ -99,8 +132,7 @@ function initEchart(dataArr) {
}, },
{ {
type: "line", type: "line",
name: "Daily Total Reward (USD)", name: "Total (USD)",
smooth: true,
symbol: "none", symbol: "none",
lineStyle: { lineStyle: {
width: 1, width: 1,
@ -124,4 +156,14 @@ function initEchart(dataArr) {
myChart.setOption(option); myChart.setOption(option);
} }
fetchDataForChart(); 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);
});
});