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*.old
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.hugo_build.lock
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*.json
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||||
/data
|
||||
backend/api_logs.txt
|
||||
*__pycache__*
|
||||
|
|
|
|||
428
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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Using Creative Commons Public Licenses
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Considerations for the public: By using one of our public
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Although not required by our licenses, you are encouraged to
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=======================================================================
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Creative Commons Attribution-ShareAlike 4.0 International Public
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License
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By exercising the Licensed Rights (defined below), You accept and agree
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k. Share means to provide material to the public by any means or
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l. Sui Generis Database Rights means rights other than copyright
|
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the Council of 11 March 1996 on the legal protection of databases,
|
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m. You means the individual or entity exercising the Licensed Rights
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Section 2 -- Scope.
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a. License grant.
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1. Subject to the terms and conditions of this Public License,
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the Licensor hereby grants You a worldwide, royalty-free,
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non-sublicensable, non-exclusive, irrevocable license to
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a. reproduce and Share the Licensed Material, in whole or
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b. produce, reproduce, and Share Adapted Material.
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2. Exceptions and Limitations. For the avoidance of doubt, where
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Exceptions and Limitations apply to Your use, this Public
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its terms and conditions.
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3. Term. The term of this Public License is specified in Section
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Licensor authorizes You to exercise the Licensed Rights in
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and to make technical modifications necessary to do so. The
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||||
(4) never produces Adapted Material.
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5. Downstream recipients.
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|
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a. Offer from the Licensor -- Licensed Material. Every
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Every recipient of Adapted Material from You
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automatically receives an offer from the Licensor to
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c. No downstream restrictions. You may not offer or impose
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apply any Effective Technological Measures to, the
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6. No endorsement. Nothing in this Public License constitutes or
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provided in Section 3(a)(1)(A)(i).
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b. Other rights.
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1. Moral rights, such as the right of integrity, are not
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licensed under this Public License, nor are publicity,
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assert any such rights held by the Licensor to the limited
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extent necessary to allow You to exercise the Licensed
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Rights, but not otherwise.
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2. Patent and trademark rights are not licensed under this
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3. To the extent possible, the Licensor waives any right to
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Section 3 -- License Conditions.
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Your exercise of the Licensed Rights is expressly made subject to the
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1. If You Share the Licensed Material (including in modified
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b. indicate if You modified the Licensed Material and
|
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retain an indication of any previous modifications; and
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c. indicate the Licensed Material is licensed under this
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2. You may satisfy the conditions in Section 3(a)(1) in any
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|
||||
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|
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reasonably practicable.
|
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|
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b. ShareAlike.
|
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|
||||
In addition to the conditions in Section 3(a), if You Share
|
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Adapted Material You produce, the following conditions also apply.
|
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|
||||
1. The Adapter's License You apply must be a Creative Commons
|
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license with the same License Elements, this version or
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later, or a BY-SA Compatible License.
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|
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2. You must include the text of, or the URI or hyperlink to, the
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Adapter's License You apply. You may satisfy this condition
|
||||
in any reasonable manner based on the medium, means, and
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||||
context in which You Share Adapted Material.
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|
||||
3. You may not offer or impose any additional or different terms
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or conditions on, or apply any Effective Technological
|
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Measures to, Adapted Material that restrict exercise of the
|
||||
rights granted under the Adapter's License You apply.
|
||||
|
||||
|
||||
Section 4 -- Sui Generis Database Rights.
|
||||
|
||||
Where the Licensed Rights include Sui Generis Database Rights that
|
||||
apply to Your use of the Licensed Material:
|
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|
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a. for the avoidance of doubt, Section 2(a)(1) grants You the right
|
||||
to extract, reuse, reproduce, and Share all or a substantial
|
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portion of the contents of the database;
|
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|
||||
b. if You include all or a substantial portion of the database
|
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|
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|
||||
Rights (but not its individual contents) is Adapted Material,
|
||||
including for purposes of Section 3(b); and
|
||||
|
||||
c. You must comply with the conditions in Section 3(a) if You Share
|
||||
all or a substantial portion of the contents of the database.
|
||||
|
||||
For the avoidance of doubt, this Section 4 supplements and does not
|
||||
replace Your obligations under this Public License where the Licensed
|
||||
Rights include other Copyright and Similar Rights.
|
||||
|
||||
|
||||
Section 5 -- Disclaimer of Warranties and Limitation of Liability.
|
||||
|
||||
a. UNLESS OTHERWISE SEPARATELY UNDERTAKEN BY THE LICENSOR, TO THE
|
||||
EXTENT POSSIBLE, THE LICENSOR OFFERS THE LICENSED MATERIAL AS-IS
|
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AND AS-AVAILABLE, AND MAKES NO REPRESENTATIONS OR WARRANTIES OF
|
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ANY KIND CONCERNING THE LICENSED MATERIAL, WHETHER EXPRESS,
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IMPLIED, STATUTORY, OR OTHER. THIS INCLUDES, WITHOUT LIMITATION,
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|
||||
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|
||||
KNOWN OR DISCOVERABLE. WHERE DISCLAIMERS OF WARRANTIES ARE NOT
|
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ALLOWED IN FULL OR IN PART, THIS DISCLAIMER MAY NOT APPLY TO YOU.
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|
||||
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|
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|
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NEGLIGENCE) OR OTHERWISE FOR ANY DIRECT, SPECIAL, INDIRECT,
|
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INCIDENTAL, CONSEQUENTIAL, PUNITIVE, EXEMPLARY, OR OTHER LOSSES,
|
||||
COSTS, EXPENSES, OR DAMAGES ARISING OUT OF THIS PUBLIC LICENSE OR
|
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USE OF THE LICENSED MATERIAL, EVEN IF THE LICENSOR HAS BEEN
|
||||
ADVISED OF THE POSSIBILITY OF SUCH LOSSES, COSTS, EXPENSES, OR
|
||||
DAMAGES. WHERE A LIMITATION OF LIABILITY IS NOT ALLOWED IN FULL OR
|
||||
IN PART, THIS LIMITATION MAY NOT APPLY TO YOU.
|
||||
|
||||
c. The disclaimer of warranties and limitation of liability provided
|
||||
above shall be interpreted in a manner that, to the extent
|
||||
possible, most closely approximates an absolute disclaimer and
|
||||
waiver of all liability.
|
||||
|
||||
|
||||
Section 6 -- Term and Termination.
|
||||
|
||||
a. This Public License applies for the term of the Copyright and
|
||||
Similar Rights licensed here. However, if You fail to comply with
|
||||
this Public License, then Your rights under this Public License
|
||||
terminate automatically.
|
||||
|
||||
b. Where Your right to use the Licensed Material has terminated under
|
||||
Section 6(a), it reinstates:
|
||||
|
||||
1. automatically as of the date the violation is cured, provided
|
||||
it is cured within 30 days of Your discovery of the
|
||||
violation; or
|
||||
|
||||
2. upon express reinstatement by the Licensor.
|
||||
|
||||
For the avoidance of doubt, this Section 6(b) does not affect any
|
||||
right the Licensor may have to seek remedies for Your violations
|
||||
of this Public License.
|
||||
|
||||
c. For the avoidance of doubt, the Licensor may also offer the
|
||||
Licensed Material under separate terms or conditions or stop
|
||||
distributing the Licensed Material at any time; however, doing so
|
||||
will not terminate this Public License.
|
||||
|
||||
d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
|
||||
License.
|
||||
|
||||
|
||||
Section 7 -- Other Terms and Conditions.
|
||||
|
||||
a. The Licensor shall not be bound by any additional or different
|
||||
terms or conditions communicated by You unless expressly agreed.
|
||||
|
||||
b. Any arrangements, understandings, or agreements regarding the
|
||||
Licensed Material not stated herein are separate from and
|
||||
independent of the terms and conditions of this Public License.
|
||||
|
||||
|
||||
Section 8 -- Interpretation.
|
||||
|
||||
a. For the avoidance of doubt, this Public License does not, and
|
||||
shall not be interpreted to, reduce, limit, restrict, or impose
|
||||
conditions on any use of the Licensed Material that could lawfully
|
||||
be made without permission under this Public License.
|
||||
|
||||
b. To the extent possible, if any provision of this Public License is
|
||||
deemed unenforceable, it shall be automatically reformed to the
|
||||
minimum extent necessary to make it enforceable. If the provision
|
||||
cannot be reformed, it shall be severed from this Public License
|
||||
without affecting the enforceability of the remaining terms and
|
||||
conditions.
|
||||
|
||||
c. No term or condition of this Public License will be waived and no
|
||||
failure to comply consented to unless expressly agreed to by the
|
||||
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|
||||
|
||||
d. Nothing in this Public License constitutes or may be interpreted
|
||||
as a limitation upon, or waiver of, any privileges and immunities
|
||||
that apply to the Licensor or You, including from the legal
|
||||
processes of any jurisdiction or authority.
|
||||
|
||||
|
||||
=======================================================================
|
||||
|
||||
Creative Commons is not a party to its public
|
||||
licenses. Notwithstanding, Creative Commons may elect to apply one of
|
||||
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|
||||
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|
||||
public licenses is dedicated to the public domain under the CC0 Public
|
||||
Domain Dedication. Except for the limited purpose of indicating that
|
||||
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|
||||
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|
||||
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|
||||
use of the trademark "Creative Commons" or any other trademark or logo
|
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of Creative Commons without its prior written consent including,
|
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without limitation, in connection with any unauthorized modifications
|
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|
||||
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|
||||
the avoidance of doubt, this paragraph does not form part of the
|
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|
||||
|
||||
Creative Commons may be contacted at creativecommons.org.
|
||||
|
||||
|
|
@ -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.
|
||||
|
|
|
|||
153
backend/app.py
153
backend/app.py
|
|
@ -1,172 +1,63 @@
|
|||
from flask import Flask, g, jsonify, request, json, Response, send_from_directory, abort
|
||||
from flask import Flask, jsonify, request, json, Response, send_from_directory, abort
|
||||
from flask_cors import CORS
|
||||
import orjson, os
|
||||
|
||||
import datetime
|
||||
import time
|
||||
|
||||
app = Flask(__name__)
|
||||
CORS(app)
|
||||
|
||||
FILES_DIRECTORY = "../data/"
|
||||
FILES_DIRECTORY = '../data/'
|
||||
|
||||
|
||||
@app.before_request
|
||||
def start_timer():
|
||||
g.start = time.time()
|
||||
|
||||
|
||||
@app.after_request
|
||||
def log(response):
|
||||
now = time.time()
|
||||
duration = round(now - g.start, 4)
|
||||
dt = datetime.datetime.fromtimestamp(now).strftime("%Y-%m-%d %H:%M:%S")
|
||||
|
||||
log_entry = {
|
||||
"timestamp": dt,
|
||||
"duration": duration,
|
||||
"method": request.method,
|
||||
"url": request.url,
|
||||
"status": response.status_code,
|
||||
"remote_addr": request.access_route[-1],
|
||||
"user_agent": request.user_agent.string,
|
||||
}
|
||||
|
||||
log_line = ",".join(f"{key}={value}" for key, value in log_entry.items())
|
||||
|
||||
with open("api_logs.txt", "a") as f:
|
||||
f.write(log_line + "\n")
|
||||
|
||||
return response
|
||||
|
||||
|
||||
@app.route("/bitcoin_business_growth_by_country", methods=["GET"])
|
||||
@app.route('/bitcoin_business_growth_by_country', methods=['GET'])
|
||||
def business_growth():
|
||||
|
||||
today = datetime.datetime.today()
|
||||
|
||||
# Parse args from request
|
||||
latest_date = request.args.get("latest_date")
|
||||
country_names = request.args.get("countries") # change this line
|
||||
cumulative_period_type = request.args.get("cumulative_period_type")
|
||||
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:
|
||||
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
|
||||
]
|
||||
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
|
||||
]
|
||||
filtered_data = [item for item in filtered_data if item['country_name'] in countries]
|
||||
|
||||
if cumulative_period_type == "1 day":
|
||||
delta = today - datetime.timedelta(days=2)
|
||||
filtered_data = [
|
||||
item
|
||||
for item in filtered_data
|
||||
if item["cumulative_period_type"] == cumulative_period_type
|
||||
and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
|
||||
]
|
||||
elif cumulative_period_type == "7 day":
|
||||
delta = today - datetime.timedelta(days=8)
|
||||
filtered_data = [
|
||||
item
|
||||
for item in filtered_data
|
||||
if item["cumulative_period_type"] == cumulative_period_type
|
||||
and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
|
||||
]
|
||||
elif cumulative_period_type == "28 day":
|
||||
delta = today - datetime.timedelta(days=29)
|
||||
filtered_data = [
|
||||
item
|
||||
for item in filtered_data
|
||||
if item["cumulative_period_type"] == cumulative_period_type
|
||||
and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
|
||||
]
|
||||
elif cumulative_period_type == "365 day":
|
||||
delta = today - datetime.timedelta(days=366)
|
||||
filtered_data = [
|
||||
item
|
||||
for item in filtered_data
|
||||
if item["cumulative_period_type"] == cumulative_period_type
|
||||
and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
|
||||
]
|
||||
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=False)
|
||||
sorted_data = sorted(filtered_data, key=lambda x: x['date'], reverse=True)
|
||||
|
||||
# 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):
|
||||
|
||||
period = request.args.get("period")
|
||||
today = datetime.datetime.today()
|
||||
|
||||
file_path = os.path.join(FILES_DIRECTORY, filename)
|
||||
if not os.path.isfile(file_path):
|
||||
abort(404)
|
||||
|
||||
with open(file_path, "r") as f:
|
||||
data = orjson.loads(f.read())
|
||||
with open(file_path, 'r') as file:
|
||||
data = json.load(file)
|
||||
|
||||
if period == "last 7 days":
|
||||
delta = today - datetime.timedelta(days=7)
|
||||
filtered_data = [
|
||||
item
|
||||
for item in data
|
||||
if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
|
||||
]
|
||||
sorted_data = sorted(filtered_data, key=lambda x: x["date"])
|
||||
elif period == "last 28 days":
|
||||
delta = today - datetime.timedelta(days=28)
|
||||
filtered_data = [
|
||||
item
|
||||
for item in data
|
||||
if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
|
||||
]
|
||||
sorted_data = sorted(filtered_data, key=lambda x: x["date"])
|
||||
elif period == "last 365 days":
|
||||
delta = today - datetime.timedelta(days=365)
|
||||
filtered_data = [
|
||||
item
|
||||
for item in data
|
||||
if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
|
||||
]
|
||||
sorted_data = sorted(filtered_data, key=lambda x: x["date"])
|
||||
elif period == "last 2 years":
|
||||
delta = today - datetime.timedelta(days=730)
|
||||
filtered_data = [
|
||||
item
|
||||
for item in data
|
||||
if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
|
||||
]
|
||||
sorted_data = sorted(filtered_data, key=lambda x: x["date"])
|
||||
else:
|
||||
sorted_data = sorted(data, key=lambda x: x["date"])
|
||||
return jsonify(data)
|
||||
|
||||
return jsonify(sorted_data)
|
||||
|
||||
|
||||
@app.route("/download/<filename>", methods=["GET"])
|
||||
@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__":
|
||||
if __name__ == '__main__':
|
||||
app.run()
|
||||
|
|
|
|||
|
|
@ -1,13 +0,0 @@
|
|||
[Unit]
|
||||
Description=Gunicorn 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/gunicorn --workers 4 --bind unix:baseddata.sock -m 007 app:app
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
|
|
@ -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
|
||||
|
|
@ -1,5 +0,0 @@
|
|||
flask
|
||||
flask_cors
|
||||
orjson
|
||||
gunicorn
|
||||
|
||||
|
|
@ -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)
|
||||
|
|
|
|||
|
|
@ -1,42 +1,28 @@
|
|||
## Sam Chance | Analytics Engineer | Cornwall, UK
|
||||
***contact@sjplab.com***
|
||||
# Sam Chance
|
||||
## Analytics Engineer
|
||||
|
||||
4 years experience working in the tech industry as a Data Analyst and Analytics Engineer. Experienced at providing high quality consulting services to company stakeholders. Demonstrable proficiency in various programming languages. Strong educational background in a STEM field with Master's and Bachelor's degree. Excellent communication skills with competence at articulating complex ideas to non-technical people. Broad set of technical skills and talented at crafting creative solutions for novel problems.
|
||||
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
|
||||
- **Database Management**: BigQuery | Postgres | MongoDB (learning)
|
||||
- **Analytics**: Data Engineering | Data Analysis (R, Pandas, Numpy, SPSS) | Data Modelling (DBT, Python, SQL) | Data Visualization | Dashboarding (Looker Studio, Apache ECharts)
|
||||
- **Programming Languages**: proficient: SQL, Python, Bash | capable: R, Lua | learning: JavaScript, Nix
|
||||
- **Code Collaboration & Version Control**: Git, Github, Self Hosted Gitea
|
||||
- **Workflow Orchestration**: Apache Airflow | Prefect (learning)
|
||||
- **CLI wizard**: Scripting (Bash, Python) | GNU Coreutils | Neovim
|
||||
- **Geographic Information Systems**: QGIS | PostGIS | GDAL
|
||||
- **Sysadmin**: Linux | Networking | SSH | Reverse Proxy (Nginx) | API Management | Containerization (Docker, LXC) | Nixos
|
||||
- **Computers**: Cloud Computing (GCP) | Infrastructure Engineering (Homelab, Hypervisors, KVM) | x86 Architecture
|
||||
- **AI Tooling**: Self Hosted LLMs | Ollama | Langchain | Open Interpreter
|
||||
- **Web Development**: Hugo | JavaScript/HTML/CSS | Apache ECharts
|
||||
- **Personal**: Full UK Driving License | Flexible Working | Autonomous Worker
|
||||
- SQL
|
||||
- Python
|
||||
- Scripting/Programming
|
||||
- Data Warehousing
|
||||
- Data Modelling
|
||||
- DBT
|
||||
- Data and Statistical Analysis
|
||||
- System Administration
|
||||
|
||||
## Experience
|
||||
### Growth Analyst / Analytics Engineer | What3Words | May 2020 to Apr 2024
|
||||
- Designed and implemented successful bespoke alerting system from scratch to detect anomalous behaviour in partner API usage (using python)
|
||||
- General consultant to company stakeholders for resolving technical data related problems
|
||||
- Built company KPI dashboard in Looker Studio along with underlying data pipelines and data models
|
||||
- Built QA tool for Product Team to assess and monitor data quality
|
||||
- Assisted with several large data migration projects in the Data Team
|
||||
- Researched and implemented data mining techniques for Product and BD Teams
|
||||
- Started as a Growth Analyst, then promoted to Analytics Engineer
|
||||
## 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
|
||||
- Delivering technical presentations
|
||||
- Programmatic statistical analysis of data
|
||||
- **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
|
||||
### MSc Marine Biology
|
||||
Bangor University - 2017 to 2018
|
||||
|
||||
### BSc Marine Biology & Zoology | Bangor University | 3 years
|
||||
- **Thesis**: "Biodiversity of Seamounts"
|
||||
|
||||
## Personal Websites
|
||||
- https://baseddata.io: A site where I publish analytical content based on open data. Still a work in progress.
|
||||
- https://semitamaps.com: A free high-quality map printing service based on OpenStreetMaps.
|
||||
### 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)
|
||||
|
|
|
|||
|
|
@ -10,5 +10,7 @@ tags: ["Bitcoin", "Stats"]
|
|||
---
|
||||
|
||||
This chart shows historical median daily feerate percentiles for the Bitcoin
|
||||
protocol.
|
||||
protocol. The data represents a daily aggregation of all blocks. This data was
|
||||
extracted from the blockchain using the `bitcoin-cli getblockstats` command.
|
||||
|
||||
{{< chart src="/js/feerate-percentile.js" >}}
|
||||
|
|
|
|||
|
|
@ -8,19 +8,13 @@ summary: "This analysis uses OpenStreetMaps data to chart the yearly growth of b
|
|||
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 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 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.
|
||||
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" >}}
|
||||
|
||||
#### Attribution and License
|
||||
Data obtained from © [OpenStreetMap](https://www.openstreetmap.org/copyright)
|
||||
|
||||
Licensed under the [ODbl](https://opendatacommons.org/licenses/odbl/)
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -8,6 +8,6 @@ summary: "Timeseries chart showing the Bitcoin network hashrate and difficulty."
|
|||
tags: ["Bitcoin", "Stats", "Hashrate"]
|
||||
---
|
||||
|
||||
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.
|
||||
|
||||
{{< chart src="/js/hashrate.js" >}}
|
||||
|
|
|
|||
|
|
@ -9,6 +9,6 @@ draft: false
|
|||
tags: ["Bitcoin", "Stats"]
|
||||
---
|
||||
|
||||
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.
|
||||
|
||||
{{< chart src="/js/miner-rewards.js" >}}
|
||||
|
|
|
|||
|
|
@ -8,7 +8,7 @@ summary: "Daily bitcoin price. Data is obtained from CoinGecko using their publi
|
|||
tags: ["Bitcoin", "Stats"]
|
||||
---
|
||||
|
||||
Daily bitcoin price. Data is obtained from [CoinGecko](https://www.coingecko.com/) using their
|
||||
Daily bitcoin price. Data is obtained from CoinGecko using their
|
||||
public API.
|
||||
|
||||
{{< bitcoin-price >}}
|
||||
|
|
|
|||
|
|
@ -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
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
<script src="https://cdn.jsdelivr.net/npm/echarts@5.5.1/dist/echarts.min.js"></script>
|
||||
<section class="chart-container">
|
||||
<div id="chart-modifiers"></div>
|
||||
<div id="chart">
|
||||
<canvas id="{{ .id }}"></canvas>
|
||||
<script src="{{ .src }}"></script>
|
||||
</div>
|
||||
</section>
|
||||
|
|
|
|||
|
|
@ -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>
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@
|
|||
<p id="price"></p>
|
||||
|
||||
<script>
|
||||
fetch(`${"{{ .Site.Params.apiURL }}"}/get_json/final__price.json`)
|
||||
fetch("https://api.bitlab21.com/price")
|
||||
.then((response) => response.json())
|
||||
.then((data) => {
|
||||
var lastElement = data[data.length - 1];
|
||||
|
|
|
|||
|
|
@ -1,5 +1,2 @@
|
|||
<script>
|
||||
const apiURL = "{{ .Site.Params.apiURL }}";
|
||||
</script>
|
||||
{{ $id := .Get "src" | md5 }} {{ partial "chart.html" (dict "src" (.Get "src")
|
||||
"id" $id) }}
|
||||
{{ $id := .Get "src" | md5 }}
|
||||
{{ partial "chart.html" (dict "src" (.Get "src") "id" $id) }}
|
||||
|
|
|
|||
|
|
@ -5,10 +5,7 @@
|
|||
<script>
|
||||
async function downloadFile(url, name) {
|
||||
try {
|
||||
const response = await fetch(`${"{{ .Site.Params.apiURL }}"}/download${url}`);
|
||||
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);
|
||||
|
|
@ -16,7 +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);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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 }}
|
||||
|
|
@ -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>
|
||||
</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>
|
||||
|
||||
<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>
|
||||
|
|
|
|||
14
shell.nix
14
shell.nix
|
|
@ -9,22 +9,10 @@ pkgs.mkShell
|
|||
python312Packages.pandas
|
||||
python312Packages.orjson
|
||||
hugo
|
||||
tmux
|
||||
];
|
||||
|
||||
shellHook = ''
|
||||
${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
|
||||
${pkgs.cowsay}/bin/cowsay "Welcome to the bitlab development environment!" | ${pkgs.lolcat}/bin/lolcat
|
||||
'';
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -16,9 +16,4 @@
|
|||
margin-top: 20px;
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
flex-direction: column;
|
||||
}
|
||||
|
||||
#chart-modifiers {
|
||||
display: flex;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -52,7 +52,6 @@
|
|||
|
||||
.navbar__left a {
|
||||
text-decoration: none !important;
|
||||
font-weight: 540;
|
||||
color: var(--text-color) !important;
|
||||
font-size: 22px;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -133,10 +133,7 @@ footer {
|
|||
color: var(--text-color);
|
||||
padding: 20px;
|
||||
height: 10vh;
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
border-top: var(--border-width) var(--border-style) var(--border-color);
|
||||
}
|
||||
|
||||
#footer {
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,14 +1,9 @@
|
|||
let chartData = [];
|
||||
let myChart;
|
||||
|
||||
let periodIndex = 3;
|
||||
|
||||
const periods = ["1 day", "7 day", "28 day", "365 day"];
|
||||
|
||||
async function fetchDataForChart(str, period) {
|
||||
async function fetchDataForChart(str) {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/bitcoin_business_growth_by_country?cumulative_period_type=${period}&countries=${str}`;
|
||||
console.log("Fetching from " + apiEndpoint);
|
||||
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: ${response.status}`);
|
||||
|
|
@ -43,11 +38,10 @@ function updateChart() {
|
|||
axisTick: axisTick,
|
||||
axisLabel: axisLabel,
|
||||
axisLine: axisLine,
|
||||
type: "category",
|
||||
type: "time",
|
||||
},
|
||||
yAxis: {
|
||||
axisTick: axisTick,
|
||||
scale: true,
|
||||
splitLine: {
|
||||
show: false,
|
||||
},
|
||||
|
|
@ -75,20 +69,17 @@ function handleCheckboxChange(event) {
|
|||
if (event.target.type === "checkbox") {
|
||||
const boxChecked = event.target.checked;
|
||||
const boxId = event.target.id;
|
||||
let selectedPeriod = getPeriodFromDropdown();
|
||||
// Remove unchecked boxes
|
||||
if (boxChecked === false) {
|
||||
delete chartData[boxId];
|
||||
updateChart();
|
||||
// Add checked boxes
|
||||
} else {
|
||||
fetchDataForChart(boxId, selectedPeriod);
|
||||
fetchDataForChart(boxId);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
document.addEventListener("DOMContentLoaded", function () {
|
||||
periodDropdown(periods, periodIndex);
|
||||
document.addEventListener("reloadTable", () => {
|
||||
myChart = echarts.init(document.getElementById("chart"));
|
||||
jsonTableCheckedBoxes = document.querySelectorAll(
|
||||
|
|
@ -98,12 +89,10 @@ document.addEventListener("DOMContentLoaded", function () {
|
|||
(checkbox) => checkbox.id,
|
||||
);
|
||||
const str = checkedBoxes.join(",");
|
||||
let selectedPeriod = getPeriodFromDropdown();
|
||||
chartData = [];
|
||||
fetchDataForChart(str, selectedPeriod);
|
||||
fetchDataForChart(str);
|
||||
|
||||
jsonTable = document.getElementById("jsonTableContainer");
|
||||
jsonTable.removeEventListener("change", handleCheckboxChange);
|
||||
jsonTable.addEventListener("change", handleCheckboxChange);
|
||||
});
|
||||
});
|
||||
|
|
|
|||
|
|
@ -1,9 +1,12 @@
|
|||
async function fetchDataForTable() {
|
||||
try {
|
||||
selectedPeriod = getPeriodFromDropdown();
|
||||
const apiEndpoint = `${apiURL}/bitcoin_business_growth_by_country?latest_date=true`;
|
||||
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=${selectedPeriod}`,
|
||||
apiEndpoint + `&cumulative_period_type=${selectedValue}`,
|
||||
);
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error! status: ${response.status}`);
|
||||
|
|
@ -86,10 +89,10 @@ function createTable(data) {
|
|||
);
|
||||
}
|
||||
|
||||
document.addEventListener("DOMContentLoaded", function () {
|
||||
const dropdown = document.getElementById("select-period-dropdown");
|
||||
window.onload = () => {
|
||||
const dropdown = document.querySelector(".dropdownFilter");
|
||||
fetchDataForTable();
|
||||
dropdown.addEventListener("change", () => {
|
||||
fetchDataForTable();
|
||||
});
|
||||
});
|
||||
};
|
||||
|
|
|
|||
|
|
@ -1,18 +1,9 @@
|
|||
let dataArr = [];
|
||||
const myChart = echarts.init(document.getElementById("chart"));
|
||||
const filename = "final__price.json";
|
||||
|
||||
const periods = [
|
||||
"all time",
|
||||
"last 7 days",
|
||||
"last 28 days",
|
||||
"last 365 days",
|
||||
"last 2 years",
|
||||
];
|
||||
|
||||
async function fetchDataForChart(selectedValue) {
|
||||
async function fetchDataForChart() {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/get_json/${filename}?period=${selectedValue}`;
|
||||
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}`);
|
||||
|
|
@ -36,7 +27,7 @@ function initEchart(dataArr) {
|
|||
axisLine: axisLine,
|
||||
},
|
||||
grid: grid,
|
||||
dataZoom: dataZoom(0),
|
||||
dataZoom: dataZoom(),
|
||||
yAxis: [
|
||||
{
|
||||
type: "value",
|
||||
|
|
@ -71,14 +62,4 @@ function initEchart(dataArr) {
|
|||
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);
|
||||
});
|
||||
});
|
||||
fetchDataForChart();
|
||||
|
|
|
|||
|
|
@ -31,7 +31,7 @@ const toolboxParams = {
|
|||
dataZoom: {
|
||||
yAxisIndex: "none",
|
||||
},
|
||||
dataView: {},
|
||||
restore: {},
|
||||
saveAsImage: {
|
||||
pixelRatio: 2,
|
||||
},
|
||||
|
|
@ -73,10 +73,13 @@ 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,
|
||||
},
|
||||
];
|
||||
|
||||
|
|
@ -103,35 +106,6 @@ function nFormatter(value, digits) {
|
|||
: "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 () {
|
||||
if (myChart != null && myChart != undefined) {
|
||||
myChart.resize();
|
||||
|
|
|
|||
|
|
@ -1,18 +1,10 @@
|
|||
let dataArr = [];
|
||||
const myChart = echarts.init(document.getElementById("chart"));
|
||||
const filename = "final__feerate_percentiles.json";
|
||||
|
||||
const periods = [
|
||||
"all time",
|
||||
"last 7 days",
|
||||
"last 28 days",
|
||||
"last 365 days",
|
||||
"last 2 years",
|
||||
];
|
||||
|
||||
async function fetchDataForChart(selectedValue) {
|
||||
async function fetchDataForChart() {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/get_json/${filename}?period=${selectedValue}`;
|
||||
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: ${response.status}`);
|
||||
|
|
@ -47,7 +39,7 @@ function initEchart(dataArr) {
|
|||
axisLine: axisLine,
|
||||
},
|
||||
grid: grid,
|
||||
dataZoom: dataZoom(0),
|
||||
dataZoom: dataZoom((start = 98)),
|
||||
series: [
|
||||
{
|
||||
type: "line",
|
||||
|
|
@ -113,15 +105,4 @@ function initEchart(dataArr) {
|
|||
|
||||
myChart.setOption(option);
|
||||
}
|
||||
|
||||
document.addEventListener("DOMContentLoaded", function () {
|
||||
let periodIndex = 2;
|
||||
periodDropdown(periods, periodIndex);
|
||||
fetchDataForChart(periods[periodIndex]);
|
||||
const selectElement = document.getElementById("select-period-dropdown");
|
||||
|
||||
selectElement.addEventListener("change", function (event) {
|
||||
const selectedValue = event.target.value;
|
||||
fetchDataForChart(selectedValue);
|
||||
});
|
||||
});
|
||||
fetchDataForChart();
|
||||
|
|
|
|||
|
|
@ -1,17 +1,10 @@
|
|||
let dataArr = [];
|
||||
const myChart = echarts.init(document.getElementById("chart"));
|
||||
const filename = "final__hashrate.json";
|
||||
const periods = [
|
||||
"all time",
|
||||
"last 7 days",
|
||||
"last 28 days",
|
||||
"last 365 days",
|
||||
"last 2 years",
|
||||
];
|
||||
|
||||
async function fetchDataForChart(selectedValue) {
|
||||
async function fetchDataForChart() {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/get_json/${filename}?period=${selectedValue}`;
|
||||
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: ${response.status}`);
|
||||
|
|
@ -40,7 +33,7 @@ function initEchart(dataArr) {
|
|||
axisLine: axisLine,
|
||||
},
|
||||
grid: grid,
|
||||
dataZoom: dataZoom(0),
|
||||
dataZoom: dataZoom(),
|
||||
yAxis: [
|
||||
{
|
||||
type: "value",
|
||||
|
|
@ -113,15 +106,4 @@ function initEchart(dataArr) {
|
|||
|
||||
myChart.setOption(option);
|
||||
}
|
||||
|
||||
document.addEventListener("DOMContentLoaded", function () {
|
||||
let periodIndex = 2;
|
||||
periodDropdown(periods, periodIndex);
|
||||
fetchDataForChart(periods[periodIndex]);
|
||||
const selectElement = document.getElementById("select-period-dropdown");
|
||||
|
||||
selectElement.addEventListener("change", function (event) {
|
||||
const selectedValue = event.target.value;
|
||||
fetchDataForChart(selectedValue);
|
||||
});
|
||||
});
|
||||
fetchDataForChart();
|
||||
|
|
|
|||
|
|
@ -1,17 +1,10 @@
|
|||
let dataArr = [];
|
||||
const myChart = echarts.init(document.getElementById("chart"));
|
||||
const filename = "final__miner_rewards.json";
|
||||
const periods = [
|
||||
"all time",
|
||||
"last 7 days",
|
||||
"last 28 days",
|
||||
"last 365 days",
|
||||
"last 2 years",
|
||||
];
|
||||
|
||||
async function fetchDataForChart(selectedValue) {
|
||||
async function fetchDataForChart() {
|
||||
try {
|
||||
const apiEndpoint = `${apiURL}/get_json/${filename}?period=${selectedValue}`;
|
||||
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}`);
|
||||
|
|
@ -24,37 +17,9 @@ async function fetchDataForChart(selectedValue) {
|
|||
}
|
||||
|
||||
function initEchart(dataArr) {
|
||||
console.log(dataArr);
|
||||
const option = {
|
||||
backgroundColor: backgroundColor,
|
||||
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);
|
||||
},
|
||||
},
|
||||
tooltip: tooltip,
|
||||
toolbox: toolboxParams,
|
||||
xAxis: {
|
||||
data: dataArr.map((row) => row.date),
|
||||
|
|
@ -63,13 +28,13 @@ function initEchart(dataArr) {
|
|||
axisLine: axisLine,
|
||||
},
|
||||
grid: grid,
|
||||
dataZoom: dataZoom(0),
|
||||
dataZoom: dataZoom(97),
|
||||
yAxis: [
|
||||
{
|
||||
type: "value",
|
||||
name: "Rewards (USD)",
|
||||
nameLocation: "middle",
|
||||
nameGap: 30,
|
||||
nameGap: 35,
|
||||
nameTextStyle: textStyleMain,
|
||||
position: "left",
|
||||
alignTicks: true,
|
||||
|
|
@ -87,7 +52,7 @@ function initEchart(dataArr) {
|
|||
},
|
||||
{
|
||||
type: "value",
|
||||
name: "Subsidy (BTC)",
|
||||
name: "Block Subsidy (BTC)",
|
||||
nameLocation: "middle",
|
||||
nameGap: 20,
|
||||
nameTextStyle: {
|
||||
|
|
@ -110,7 +75,8 @@ function initEchart(dataArr) {
|
|||
series: [
|
||||
{
|
||||
type: "line",
|
||||
name: "Subsidy (USD)",
|
||||
name: "Daily Subsidy (USD)",
|
||||
smooth: true,
|
||||
stack: "Total",
|
||||
areaStyle: {},
|
||||
symbol: "none",
|
||||
|
|
@ -121,7 +87,8 @@ function initEchart(dataArr) {
|
|||
},
|
||||
{
|
||||
type: "line",
|
||||
name: "Fees (USD)",
|
||||
name: "Daily Fees (USD)",
|
||||
smooth: true,
|
||||
stack: "Total",
|
||||
areaStyle: {},
|
||||
symbol: "none",
|
||||
|
|
@ -132,7 +99,8 @@ function initEchart(dataArr) {
|
|||
},
|
||||
{
|
||||
type: "line",
|
||||
name: "Total (USD)",
|
||||
name: "Daily Total Reward (USD)",
|
||||
smooth: true,
|
||||
symbol: "none",
|
||||
lineStyle: {
|
||||
width: 1,
|
||||
|
|
@ -156,14 +124,4 @@ function initEchart(dataArr) {
|
|||
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);
|
||||
});
|
||||
});
|
||||
fetchDataForChart();
|
||||
|
|
|
|||
Loading…
Reference in New Issue